├── CONTRIBUTING.md ├── LICENSE └── README.md /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | # Contribution Guidelines 2 | 3 | Please note that this project is released with a [Contributor Code of Conduct](code-of-conduct.md). By participating in this project you agree to abide by its terms. 4 | 5 | Ensure your pull request adheres to the following guidelines: 6 | 7 | - **If you just created something, wait at least 30 days before submitting.** This is to give it some time to mature and ensure it's not just a publish-and-forget type of project. 8 | - Search previous suggestions before making a new one, as yours may be a duplicate. 9 | - Use [title-casing](http://title-casing.com). 10 | - Use the following format: `[List Name](link)`. 11 | - Suggested packages should be tested and documented. 12 | - Make sure the list is useful before submitting. That implies it has enough content and every item has a good succinct description. 13 | - Make an individual pull request for each suggestion. 14 | - Additions should be added to the bottom of the relevant category. 15 | - Keep descriptions short and simple, but descriptive. 16 | - Check your spelling and grammar. 17 | - Make sure your text editor is set to remove trailing whitespace. 18 | - The pull request should have a useful title and include a link to the package and why it should be included. 19 | 20 | Thank you for your suggestion! 21 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2017 Lightman Wang 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Awesome Artificial Intelligence 2 | A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project) 3 | 4 | If you want to contribute to this list (please do), send me a pull request or contact me ozitquan@gmail.com 5 | 6 | ## Contents 7 | 8 | 1. [Courses & Articles](#courses) 9 | 2. [Artificial Intelligence Company & Reseach Institute](#user-content-artificial-intelligence-company--reseach-institute) 10 | 3. [Artificial Intelligence Tools](#user-content-artificial-intelligence-tools) 11 | 4. [Books](#books) 12 | 5. [Development](#development) 13 | 6. [News](#news) 14 | 7. [Events and Conferences](#events-and-conferences) 15 | 8. [Jobs](#jobs) 16 | 17 | ## Courses & Articles 18 | 19 | * [AI & ML Events](https://aiml.events) - Discover the best upcoming hand-picked events in the field of artificial intelligence and machine learning 20 | * [Machine Learning](https://www.coursera.org/learn/machine-learning) - *Stanford University* This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. *Taught by: Andrew Ng* 21 | * [MIT Artifical Intelligence Videos](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos) - *MIT* This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances. 22 | * [Machine Learning](https://class.coursera.org/ml-008) - Basic machine learning algorithms for supervised and unsupervised learning 23 | * [Deep Learning for Natural Language Processing](https://github.com/oxford-cs-deepnlp-2017/) - *University of Oxford* This is an applied course focussing on recent advances in analysing and generating speech and text using recurrent neural networks. 24 | * [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu/) -*Stanford University* Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement, emails, customer service, language translation, radiology reports, etc. 25 | - [Machine Learning](http://www.cs.cornell.edu/courses/CS4780/2014fa/) - *Cornell University* This course will introduce you to technologies for building data-centric information systems on the World Wide Web, show the practical applications of such systems, and discuss their design and their social and policy context by examining cross-cutting issues such as citizen science, data journalism and open government. Course work involves lectures and readings as well as weekly homework assignments, and a semester-long project in which the students demonstrate their expertise in building data-centric Web information systems. 26 | - [Deep Learning Explained](https://www.edx.org/course/deep-learning-explained-microsoft-dat236x?source=aw&awc=6798_1500594071_04df88310f6261258691c4c3ccbb0481&utm_source=aw&utm_medium=affiliate_partner&utm_content=text-link) - *Microsoft* This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology. 27 | - [Machine Learning: Regression](https://www.coursera.org/learn/ml-regression?siteID=SAyYsTvLiGQ-V25BzL1BXFeL3qQswDR1PA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) - *University of Washington* In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. 28 | - [Machine Learning: Clustering & Retrieval](https://www.coursera.org/learn/ml-clustering-and-retrieval?siteID=SAyYsTvLiGQ-aGMQm0rxwGdJOGehXlBV7g&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) - *University of Washington* A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover? 29 | - [Neural Networks for Machine Learning](https://www.coursera.org/lecture/neural-networks-deep-learning/geoffrey-hinton-interview-dcm5r) -*University of Toronto with Geoffrey Hinton* Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well. 30 | - [Machine Learning With Big Data](https://www.coursera.org/learn/big-data-machine-learning?siteID=SAyYsTvLiGQ-Y0tPwdcrYUE2YMb20wl5ww&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) -*University of California, San Diego* Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. 31 | - [Data Science & Machine Learning](https://www.scaler.com/data-science-course/) - Unlock Data Insights: Comprehensive Data Science & Machine Learning Course. 32 | - [Machine Learning Articles](https://www.appliedaicourse.com/blog/category/machine-learning/) - The Applied AI Course blog offers concise, practical articles on machine learning. 33 | 34 | ### Artificial Intelligence 35 | 36 | - [Introduction to Artificial Intelligence](http://ai.berkeley.edu/home.html) -*UC Berkeley* This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm. 37 | - [Advanced Artificial Intelligence](http://www.cs.cornell.edu/courses/CS6700/2013sp/) -*Cornell University* The design of systems that are among top 10 performers in the world (human, computer, or hybrid human-computer). 38 | - [Artificial Intelligence (AI)](https://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-1?source=aw&awc=6798_1500601821_fb8bf9bc2174fde1ff3f4738d2e41363&utm_source=aw&utm_medium=affiliate_partner&utm_content=text-link) - *Columbia University with Professor Ansaf Salleb-Aouissi* This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems. 39 | 40 | ### Generative Adversarial Networks (GANs) 41 | 42 | - [A Beginner's Guide to Generative Adversarial Networks (GANs)](https://skymind.ai/wiki/generative-adversarial-network-gan) - Generative adversarial networks (GANs) are deep neural net architectures comprised of two nets, pitting one against the other. 43 | 44 | - [GAN — What is Generative Adversary Networks GAN?](https://medium.com/@jonathan_hui/gan-whats-generative-adversarial-networks-and-its-application-f39ed278ef09) - GAN is about creating, like drawing a portrait or composing a symphony. This is hard compared to other deep learning fields. 45 | 46 | ### Robotics 47 | 48 | 49 | * [Artificial Intelligence for Robotics](https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373) - *Georgia Tech* Artificial Intelligence for Robotics by Sebastian Thrun 50 | - [Advanced Robotics](http://www.cs.berkeley.edu/~pabbeel/cs287-fa13/) -*UC Berkeley* The course introduces the math and algorithms underneath state-of-the-art robotic systems. The majority of these techniques are heavily based on probabilistic reasoning and optimization---two areas with wide applicability in modern Artificial Intelligence. 51 | 52 | ## Artificial Intelligence Company & Research Institute 53 | 54 | ### Business Intelligence & Analytics 55 | 56 | * [Arago/HIRO](https://www.arago.co/hiro/) — optimise and autonomously IT and business operations 57 | * [Arimo](https://arimo.com/) — solution to help predict customer activity and fraud 58 | * [Ayasdi](https://www.ayasdi.com/) — a suite of intelligent applications for enterprise 59 | * [DataRobot](https://www.datarobot.com/) — a range of products to improve enterprise products 60 | * [Dataminr](https://www.dataminr.com/) — discovers events and breaking information before the news 61 | * [Einstein](https://www.salesforce.com/au/products/einstein/overview/) — a smarter Salesforce 62 | * [Fuzzy AI](https://fuzzy.ai/) — adds intelligent decision making to web and mobile apps 63 | * [Logit.io](http://logit.io/) — visualise and manage logs and metrics with hosted ELK, Grafana & Open Distro 64 | * [Logz.io](http://logz.io/) — helps you index, search, visualise and analyse your data 65 | * [NXT AI](https://nxt.ai) — is a framework for temporal pattern recognition and prediction 66 | * [Paxata](http://www.paxata.com/)] — to transform raw data into useful information automatically 67 | * [Poweredby.ai](https://poweredby.ai/) — helps you monitor server bugs 68 | * [Sundown](https://www.sundown.ai/home/) — automates repetitive tasks within your business 69 | * [UBIX](http://ubix.ai/#dynamic) — making complex data science easy for enterprise 70 | * [Student Voice](https://www.studentvoice.ai)-automatic free-text labelling for education 71 | 72 | ### Machine Learning 73 | 74 | * [Geometric Intelligence ](https://geometricintelligence.com/) - Geometric Intelligence apart of the Uber AI Labs 75 | * [kaggle](https://www.kaggle.com/) - a platform for predictive modelling and analytics competitions in which companies and researchers post data and statisticians and data miners compete to produce the best models for predicting and describing the data 76 | 77 | ### Robotics 78 | * [Boston Dynamics](https://www.bostondynamics.com) - an engineering and robotics design company that is best known for the development of BigDog 79 | * [iRobot](http://www.irobot.com/) - manufacturer of the famous robotic vacuum cleaner 80 | * [DJI](http://www.dji.com/) - industry leader in drones for both commerical and industrial needs. 81 | * [Fetch Robotics](http://www.fetchrobotics.com/) - The future of e-commerce fulfillment and R&D robots. 82 | * [ABB Robotics](http://new.abb.com/products/robotics) - the largest manufacturer of industrial robots 83 | * [Aldebaran Robotics](https://www.aldebaran.com/en) - creator of the [NAO robot 84 | * [FANUC](http://www.fanucamerica.com/) - industrial robots manufacturer with the biggest install base 85 | * [Rethink Robotics](http://www.rethinkrobotics.com/) - creator of the collaborative robot [Baxter] 86 | 87 | ### Conversational Interfaces & Chatbots 88 | * [API.ai](https://api.ai/) — advanced tools needed to build conversational user interfaces 89 | * [Broken Bear](https://brokenbear.com/) — a teddy bear AI for you to vent to for free, online, and anonymously. 90 | * [Chatfuel](https://chatfuel.com/) — build a Facebook chatbot without coding 91 | * [ChatGenius](https://chatgenius.one/) —unlock the power of Multilingual Communication 92 | * [Comm.ai](http://comm.ai/) — add voice and chat API to websites and apps 93 | * [Conversica](https://www.conversica.com/) — conversational interfaces to help get more sales 94 | * [EDDI](http://eddi.labs.ai/) — create, test and deploy chatbots 95 | * [FPT AI Platform](https://fpt.ai/) — automated interaction with end-users 96 | * [Golem.ai](https://golem.ai) — natural language interpretation tool for developers 97 | * [Gong](https://www.gong.io/) — analyses and improves sales conversations and discovery calls 98 | * [Kasisto](http://kasisto.com/) — conversational AI platform for the finance industry 99 | * [KITT.AI](http://kitt.ai/) — create conversational agents using a visual interface 100 | * [Maluuba](http://www.maluuba.com/) — teaching machines to think, reason and communicate 101 | * [Massively](http://massively.ai/) — build chatbots for business 102 | * [Meya](https://meya.ai/) — build, train and host bots in one platform 103 | * [MindMeld](https://www.mindmeld.com/) — improved version of Siri 104 | * [Motion AI](https://www.motion.ai/) — chat bots made easy 105 | * [msg.ai](http://txt.ai/index.html#home) — chatbot with management dashboard 106 | * [Octane AI](https://octaneai.com/) — marketing automation for messaging 107 | * [OpenAI Gym](https://gym.openai.com/) — open source interface to reinforcement learning tasks 108 | * [Orbit](https://orbit.ai) — tools to help to help automate conversational AI 109 | * [PageLines](https://www.pagelines.com?ref=hades217)-AI Agents to Enhance Your Website 110 | * [Pool](https://pool.ai/) — personal assistant that helps you get more work done 111 | * [Recast](https://recast.ai/) — collaborative platform to build, train, deploy intelligent bots 112 | * [Reply.ai](https://www.reply.ai/) — platform to build and manage your conversational strategy 113 | * [Semantic Machines](http://www.semanticmachines.com/) — conversational AI for work, travel, shop and play 114 | * [Snips](https://snips.ai/) — add a voice Assistant to your connected product 115 | * [Servo](http://servo.ai/) — full spectrum bot and voice which integrates with existing systems 116 | * [UNU.ai](http://unu.ai/) — using the Swarm Intelligence (group brainpower) for chatbots 117 | * [Unify](http://www.unify.ai/) — e-commerce chatbot 118 | * [uTu](https://utu.ai/) — multi-channel bot analytics and data management 119 | * [Voilà](https://www.getvoila.ai/) — AI-powered browser assistant to help you with everyday tasks 120 | * [Wechaty](https://github.com/Chatie/wechaty) - Wechaty is a Bot Framework for Wechat Personal Account which can help you create a bot 121 | * [Wit.ai](https://wit.ai/) — easily create text or voice based bots for preferred platform 122 | * [Wysh](https://wysh.ai/) — enterprise scale chatbot with payment methods 123 | * [Zero AI](http://zero.ai/) — voice interface that understands meaning, intent and context 124 | 125 | ### Data Science 126 | * [Arize](https://arize.com/) — machine learning observability 127 | * [BigML](https://bigml.com/) — single platform for all predictive use cases 128 | * [CrowdFlower](https://www.crowdflower.com/) — helps with sentiment analysis, search relevance, and more 129 | * [Dataiku](http://www.dataiku.com/) — data science platform for prototype, deploy, and run at scale 130 | * [DataScience](https://www.datascience.com) — enterprise data science platform for R&D and production 131 | * [Domino Data Lab](https://www.dominodatalab.com/) — platform for collaborating, building and deploying 132 | * [Kaggle](https://www.kaggle.com/) — helps you learn, work, and play with machine learning models 133 | * [Katonic.ai](https://katonic.ai/) - Automate your cycle of Intelligence with Katonic MLOps Platform. 134 | * [Phoenix](https://phoenix.arize.com/) - open source library; LLM observability in a notebook 135 | * [RapidMiner](https://rapidminer.com/) — makes data science teams more productive 136 | * [Seldon](http://www.seldon.io/) — helps DS teams put machine learning models into production 137 | * [Spark](http://www.sparkbeyond.com/) — research engine, capable of discovering complex patterns in data 138 | * [Tamr](http://www.tamr.com/) — makes data unification of data silos possible 139 | * [Trifacta](https://www.trifacta.com/) — helps put data into useful structures for analysis 140 | * [Yhat](https://www.trifacta.com/) — allows data scientists to deploy and update predictive models rapidly 141 | * [Yseop](https://yseop.com/) — automate the writing of reports, websites, emails, articles and more 142 | 143 | ### Development 144 | * [AnOdot](http://www.anodot.com/) — detects business incidents 145 | * [Bonsai](https://bons.ai/) — develop more adaptive, trusted and programmable AI models 146 | * [Deckard.ai](http://deckard.ai/) — helps predict project timelines 147 | * [Fuzzy.ai](http://fuzzy.ai/) — adds intelligent decision making to web and mobile apps 148 | * [IBM Watson](http://www.ibm.com/watson/) — AI platform for business 149 | * [Gigster](https://gigster.com/) — connecting projects with the right team 150 | * [Kite](https://kite.com/) — augments your coding environment with web available knowledge 151 | * [Layer 6 AI](http://layer6.ai/) — deep learning platform for prediction and personalisation 152 | * [Morp](https://morph.ai/)h — makes developing chatbots for your business easy 153 | * [Ozz](http://ozz.ai/) — make your bot smarter, by helping it self learn 154 | * [RainforestQA](https://www.rainforestqa.com/) — rapidly web and mobile app testing 155 | * [SignifAI](https://www.signifai.io/) — increase server uptime and predict downtime 156 | * [Turtle](https://turtle.ai/) — project management and chat software that’s easy for teams 157 | * [Neural Network](https://nnabla.org/) - Libraries by Sony. Sony demonstrates its interest in deep learning by releasing their own open source deep learning framework. 158 | * [TensorFlow neural network playground](http://playground.tensorflow.org/) - Play with neural networks visually in your browser to get a feel for what they are and what they do. 159 | ### Vehicle 160 | * [Wordware](https://www.wordware.ai) - A web-hosted IDE where non-technical domain experts work with AI Engineers to build task-specific AI agents. It approaches prompting as a new programming language rather than low/no-code blocks. 161 | * [Vinli](https://www.vin.li/) — turns any car into a smart car 162 | * [Apollo](http://apollo.auto/) - by Baidu. Newly launched source platform for building autonomous vehicles. 163 | 164 | ### Insurance / Legal 165 | * [Docubot](http://aux.ai/) — can advise you on legal issues 166 | * [Driveway](http://www.driveway.ai/) — tracks and rewards safe drivers 167 | 168 | ## Artificial Intelligence Tools 169 | 170 | ### Personal Tools 171 | 172 | * [Amazon Echo / Alexa](https://www.amazon.com/Amazon-Echo-Bluetooth-Speaker-with-WiFi-Alexa/dp/B00X4WHP5E) — everyday personal assistant for in-home 173 | * [Apple Siri](http://www.apple.com/ios/siri/) — everyday personal assistant on iPhone and Mac 174 | * [Brin](https://brin.ai/) — helps you make smarter business decisions 175 | * [Chatfuel](https://chatfuel.com/) — create a Facebook chatbot in 7 minutes 176 | * [Findo](https://findo.com/) — smart search assistant across email, files and personal cloud. 177 | * [Fembot](http://fembot.ai/) — your AI girlfriend 178 | * [Fin](https://www.fin.com/) — a powerful personal assistant 179 | * [Gatebox](http://gatebox.ai/) — a holographic anime assistant in an espresso machine 180 | * [Google Assistant](https://assistant.google.com/) — everyday personal assistant 181 | * [Howdy](https://howdy.ai/) - a friendly, trainable bot that helps Slack teams with work 182 | * [Hound](http://hound.ai/) — everyday personal assistant 183 | * [Julie Desk](https://www.juliedesk.com/) — meeting scheduling assistant (aimed at C-Suite) 184 | * [Kono](http://kono.ai/) — meeting scheduling assistant 185 | * [Lifos](http://simples.ai/) — dynamic independent entities that interact with the web and social 186 | * [Ling](http://ling.ai/en/) — similar to Amazon Echo 187 | * [Luka](https://luka.ai/) — chatbot messenger for people and other chatbots 188 | * [Lyra](https://lyr.ai) — monitor analyse your carbon emissions 189 | * [Magic](https://getmagic.com/) - Magic is a special phone number you text to get anything you want, hassle free 190 | * [Microsoft Cortana](https://www.microsoft.com/en/mobile/experiences/cortana/) - Cortana is a voice-controlled virtual assistant for Microsoft Windows Phone 8.1. Comparable to Siri, the intelligent assistant enabled on Apple devices, Microsoft's Cortana will use the Bing search engine and data stored on the user's smartphone by to make personalized recommendations 191 | * [MyWave](https://mywave.me/) - Melbourne-based which makes a personal call 192 | * [Meeco](http://meeco.me) - Sydney-based, a robot lawyer 193 | * Mimetic — meeting scheduling assistant 194 | * My Ally — handles meeting scheduling and manages calendar 195 | * [Mycroft](https://mycroft.ai/) — is the world’s first open source voice assistant 196 | * myWave — chatbot to help you throughout your daily life 197 | * [Remi](http://remi.ai/)— like Siri with an interface 198 | * Replika— your AI friend that you raise through text conversations 199 | * [Safurai](https://www.safurai.com/) - Safurai is the AI Code Assistant that saves you time in changing, optimizing, and searching code. 200 | * SkipFlag — automatically discover and organise your work 201 | * [Spoken](http://spoken.ai/) — virtual assistant with an interface 202 | * Vesper — virtual assistant aimed at C-Suite 203 | * [Viv](http://viv.ai/) — like Siri but 10x better 204 | * [x.ai](https://x.ai/) — x.ai is a personal assistant who schedules meetings for you 205 | * Zoom.ai — personal assistant to help you at work 206 | * [AIHelperBot](https://aihelperbot.com/) - Build SQL queries using AI 207 | * [ZZZ Code AI](https://zzzcode.ai/) - Get any programming question answered / code generated online 208 | 209 | ### Education Tools 210 | 211 | * [Thirdleap](http://thirdleap.ai/) — helps children to learn maths 212 | * [Woogie](https://woogie.ai/) — the conversational AI robot that makes learning and discovery fun for children 213 | * [XiaoJing Bot](http://jiangren.com.au) - XiaoJing Bot to support management of wechat groups and remove members of wechat group 214 | * [CodeKidz](https://codekidz.ai) — the first AI-powered programming learning platform for kids, featuring AI teachers to teach Python basics, problem-solving, and creativity with human-like responses 215 | 216 | ### Writing Tools 217 | 218 | * [RightBlogger](https://rightblogger.com/) — AI-Powered Content Creation Tools for Bloggers 219 | * [Jasperi AI](https://www.jasper.ai/) — AI writer for marketing and content teams 220 | * [Writesonic](https://writesonic.com/) — AI writer that creates SEO-friendly content 221 | * [Taskade AI](https://www.taskade.com) — AI outlining and mind mapping tool with collaborative editing 222 | * [Clap](https://chatlikea.pro) — AI Writing Partner for a Distraction-Free, Seamless Typing Experience 223 | * [Myriad](https://www.namepepper.com/free-tools/ai-content-prompt-tool) — AI prompts for writing any kind of content, like ads, scripts, webpages, email, and social 224 | 225 | ### Health / Medical Tools 226 | 227 | * [Abi](https://abi.ai/) — your virtual health assistant 228 | * [Ada](https://ada.com/) — can help if you’re feeling unwell 229 | * [Airi](http://airi.ai/) — personal health coach 230 | * [Alz.ai](https://alz.ai/) — helps you care for loved ones with Alzheimer’s 231 | * [Bitesnap](https://getbitesnap.com/) — food recognition from meal photos to help count calories 232 | * [doc.ai](http://doc.ai/) — makes lab results easy to understand 233 | * [Gyan](http://gyant.com/english/) — helps you go from symptoms to likely conditions 234 | * [Joy](http://www.hellojoy.ai/) — helps you track and improve your mental health 235 | * Kiwi — helps you to reduce and quit smoking 236 | * [Tess by X2AI](https://x2.ai/) — therapist in your pocket 237 | * Sleep.ai — diagnose snoring and tooth grinding 238 | 239 | ### Travel AI Tools 240 | 241 | * [Ada](http://fido.ai/) — chatbot that helps you navigate and make decisions 242 | * [Emma](http://ema.ai/) — automatically calculates and adds meeting travel time 243 | * [ETA](https://www.eta.ai/) — helps you manage travel itineraries and meetings 244 | * [Mezi](http://mezi.com/) —helps with booking flights, hotels, restaurant reservations and more 245 | * [Nexar](https://www.getnexar.com/) — dash cam app that helps you drive safer 246 | * [Ready](http://ready.ai/) — traffic forecaster and travel time prediction 247 | * [Spatial](http://spatial.ai/) — reveal the social layer of cities 248 | 249 | ### Finance AI Tools 250 | 251 | * [Morpher AI](https://www.morpher.com/ai) — Morpher AI is a comprehensive tool for financial market analysis that acts as your personal investment analyst. 252 | * [Abe](https://www.abe.ai/) — fast answers about your finances 253 | * [Andy](http://andy.ai/) — a personal Tax Accountant 254 | * [Ara](https://ara.ai/) — helps you budget 255 | * [Bond](http://bond.ai/) — helps you achieve your financial goals 256 | * [Mylo](https://mylo.ai/) — rounds up your everyday purchases and invest the spare change 257 | * [Olivia]() — helps you manage your finances 258 | * [Responsive](https://www.responsive.ai/) — institutional-grade active portfolio management 259 | * [Roger](https://www.roger.ai/) — helps you pay bills easily 260 | * [Xoe.ai](http://xoe.ai/) — AI lending chatbot 261 | 262 | ### Language / Translation AI Tools 263 | 264 | * [Microsoft Translator](https://translator.microsoft.com/neural/) — language translator powered by neural networks 265 | * [Watson.ai](http://watson.ai/) — legal, academic and financial translations 266 | 267 | ### IoT / IIoT 268 | * [Aerial](http://www.aerial.ai/) — home activity, movement and identity sensor 269 | * [Bridge.ai](http://bridge.ai/) — smart-home platform focused on speech and sound 270 | * [Cubic](http://cubic.ai/) — one place to connect your smart home devices 271 | * [Grojo](http://grow.ai/) — grow room controller and monitoring system 272 | * [Home](http://home.ai/) — autonomous home operations with connected devices 273 | * [Hello](http://hello.ai/) — helps you monitor and improve your sleep 274 | * [Josh](https://www.josh.ai/) — whole house voice control 275 | * [Mycroft](https://mycroft.ai/) — is the world’s first open source voice assistant 276 | * [Nanit](https://www.nanit.com/) — baby monitor that measures sleep and caregiver interactions 277 | * [Nest](https://nest.com/) — a range of in-home devices such as Thermostat, security and alarms 278 | 279 | ### Research 280 | 281 | * [Apollo](https://apollo.ai) — breaks down articles and PDF’s into quick, readable dot points 282 | * [Ferret.ai](http://ferret.ai/) — helps you research by summarising articles and search ability 283 | * [Iris](http://research.ai/) — helps you research and visualise concepts in research papers 284 | 285 | ### Tools 286 | 287 | [CaptionBot](https://www.captionbot.ai/) — Microsoft describes any photo 288 | [Crowdfunding.ai](https://crowdfunding.ai/) — crowdfunding platform for AI projects 289 | [Fieldguide](https://fieldguide.net/) — universal field guide that suggests possible matches 290 | 291 | ## Books 292 | 293 | * [Awesome AI Books](https://github.com/zachpinto/awesome-ai-books) - Collection of non-fiction books about AI by category 294 | 295 | * [Reinforcement Learning: An Introduction](https://webdocs.cs.ualberta.ca/~sutton/book/the-book.html) - This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists. 296 | 297 | ### Blogs, Papers, and Articles 298 | * [Deep learning reading list](http://deeplearning.net/reading-list/) - A thorough list of academic survey papers on the subjects of reinforcement learning, computer vision, NLP & speech, disentangling factors, transfer learning, practical tricks, sparse coding, foundation theory, feedforward networks, large scale deep learning, recurrent networks, hyper parameters, optimization, and unsupervised feature learning. 299 | * [Deep Learning in a Nutshell] - (https://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-core-concepts/) - by Tim Dettmers, via NVidia (2015). These articles are digestible and do not rely heavily on math. There are 3 parts: Part 1(A gentle introduction to deep learning that covers core concepts and vocabulary). Part2 ( History of deep learning and methods of training deep learning architectures quickly and efficiently) Part 3 (Sequence learning with a focus on natural language processing) 300 | * [TensorFlow](http://download.tensorflow.org/paper/whitepaper2015.pdf) - Large-Scale Machine Learning on Heterogeneous Distributed Systems by Google Research (2015). How TensorFlow works. 301 | * [BuzzRobot AI Newsletter](https://buzzrobot.substack.com/). Exclusive talks by top researchers on cutting-edge artificial intelligence papers. 302 | 303 | 304 | ## Development 305 | 306 | * [Caffe](http://caffe.berkeleyvision.org/) - Deep learning framework. 307 | 308 | ### LLM Ops 309 | 310 | * [Helicone AI](https://github.com/Helicone/helicone) - Open-source LLM observability platform for logging, monitoring, and debugging AI applications. 311 | 312 | ### Bot Development 313 | 314 | * [Alexa Skill Kit](https://github.com/stojanovic/alexa-skill-kit) - Library for effortless Alexa Skill development with AWS Lambda 315 | * [Facebook Messenger chatbot boilerplate](https://github.com/christophrumpel/chatbot-php-boilerplate) - PHP Facebook Messenger chatbot boilerplate 316 | * [Facebook Messenger wit.ai node.js boilerplate](https://github.com/SimplyTechnologies/messenger-bot-wit-boilerplate) -Facebook Messenger wit.ai node.js boilerplate 317 | * [Telegram Bot API PHP SDK](https://github.com/irazasyed/telegram-bot-sdk) - Telegram Bot API PHP SDK. Supports Laravel out of the box 318 | * [Wechaty](https://github.com/wechaty/wechaty) - Wechaty is a Bot Framework for Wechat Personal Account which can help you create a bot 319 | * [Node.js Messenger Bot](https://github.com/remixz/messenger-bot) - A Node client for the Facebook Messenger Platform 320 | * [BootBot](https://github.com/Charca/bootbot) - Facebook Messenger Bot Framework for Node.js 321 | * [Ruby Telegram bot boilerplate](https://github.com/MaximAbramchuck/ruby-telegram-bot-starter-kit) 322 | * [python-telegram-bot](https://github.com/python-telegram-bot/python-telegram-bot) - This library provides a pure Python interface for the Telegram Bot API 323 | 324 | ### Haskell 325 | 326 | ### C++ 327 | 328 | ### Java 329 | 330 | ### Julia 331 | 332 | ### Javascript 333 | 334 | * [Twitter-text](https://github.com/twitter/twitter-text) - Twitter's text processing library 335 | * [natural](https://github.com/NaturalNode/natural) - General natural language facilities for node 336 | * [Clustering.js](https://github.com/emilbayes/clustering.js) - Clustering algorithms implemented for Node.js and the browser 337 | * [Kmeans.js](https://github.com/emilbayes/kMeans.js) - Implementation of the k-means algorithm, for node.js and the browser 338 | * [sylvester](https://github.com/jcoglan/sylvester) - Vector and Matrix math for JavaScript. 339 | * [DN2A](https://github.com/dn2a/dn2a-javascript) - Digital Neural Networks Architecture 340 | * [Knwl.js](https://github.com/loadfive/Knwl.js) - A Natural Language Processor in JS 341 | * [NLP Compromise](https://github.com/nlp-compromise/compromise) - Natural Language processing in the browser 342 | * [science.js](https://github.com/jasondavies/science.js/) - Scientific and statistical computing in JavaScript. 343 | * [Machine Learning](http://joonku.com/project/machine_learning) - Machine learning library for Node.js 344 | * [machineJS](https://github.com/ClimbsRocks/machineJS) - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration. 345 | * [Node-fann](https://github.com/rlidwka/node-fann) - FANN (Fast Artificial Neural Network Library) bindings for Node.js 346 | * [brain.js](https://github.com/harthur-org/brain.js) - Neural Networks 347 | * [Synaptic](https://github.com/cazala/synaptic) - Neural Networks 348 | * [Natural](https://github.com/NaturalNode/natural) - Natural Language Processing 349 | * [ConvNetJS](http://cs.stanford.edu/people/karpathy/convnetjs/) - Convolutional Neural Networks 350 | * [mljs](https://github.com/mljs) - A set of sub-libraries with a variety of functions 351 | * [Neataptic](http://dnn%20execution%20framework%20o/) - Neural Networks 352 | * [Webdnn](https://github.com/mil-tokyo/webdnn) - Deep Learning 353 | 354 | ### Python 355 | 356 | * [Lasagne](https://github.com/Lasagne/Lasagne) - Lightweight Python library for deep learning (built on Theano). 357 | * [LLM App](https://github.com/pathwaycom/llm-app) | Open-source Python library to build your real-time LLM-enabled data pipeline. 358 | 359 | ### PHP 360 | 361 | ### R 362 | 363 | ### TensorFlow 364 | 365 | * [Neptune.ai](https://docs.neptune.ai/integrations-and-supported-tools/model-training/tensorflow-keras) – helps with keeping track of model training metadata. 366 | 367 | ## News 368 | 369 | * [AI Weekly](http://aiweekly.co/) — a weekly collection news and resources on AI and ML 370 | * Approximately Correct — AI and Machine Learning blog 371 | * [Axiomzen](http://ai.axiomzen.co/) — AI newsletter delivered every 2 weeks 372 | * [Concerning.ai](https://concerning.ai/) — AI commentators 373 | * [Fast.ai](http://www.fast.ai/) — dedicated to making the power of deep learning accessible to all 374 | * [Machinelearning.ai](http://machinelearning.ai/) — dedicated news and updates for ML and AI 375 | * [Machine Learning Weekly](http://mlweekly.com/) — a hand-curated newsletter ML and DL 376 | * [Artificial Intelligence News -- ScienceDaily](https://www.sciencedaily.com/news/computers_math/artificial_intelligence/) -Artificial Intelligence News. Everything on AI including futuristic robots with artificial intelligence, computer models of human intelligence and more. 377 | 378 | ### Podcast 379 | * [Podcast with Yoshua Bengio](http://techemergence.com/the-rise-of-neural-networks-and-deep-learning-in-our-everyday-lives-a-conversation-with-yoshua-bengio/) - The Rise of Neural Networks and Deep Learning in Our Everyday Lives. An exciting overview of the power of neural networks as well as their current influence and future potential. 380 | 381 | 382 | 383 | ## Events and Conferences 384 | 385 | * [The AI Conference](http://aiconference.com/) — an annual event where leading AI researchers and top industry practitioners meet and collaborate 386 | * [The AI Forum](https://www.c2montreal.com/post/new-the-ai-forum-at-c2-montreal-2017/) — Montreal based AI conference 387 | * Artificial Intelligence Conference — Bootstrap Labs Venture firm 388 | * Events.ai — the one stop shop for AI/ML/DL events and conferences 389 | * Nucl.ai — game AI conference and courses 390 | * [Chatbot Summit](https://www.chatbotsummit.com/) - Chatbot Summit Berlin is the second international Chatbot Summit destined to bring together the leading players of the newly formed Chatbot economy 391 | * [Deep learning Google Group](https://plus.google.com/communities/112866381580457264725) - Where deep learning enthusiasts and researchers hangout and share latest news. 392 | * [Deep learning research groups](http://deeplearning.net/deep-learning-research-groups-and-labs/) - A list of many of the academic and industry labs focused on deep learning. 393 | 394 | ## Jobs 395 | * [Jobs in AI](https://www.moaijobs.com/) - find latest jobs from top AI companies 396 | * [Jobs in Australia](https://www.jobpin.com.au/) - find and recommend jobs through AI 397 | * [澳洲找工作](https://jiangren.com.au/job/) - 华人找工作 工作内推 398 | * [AI Jobs](https://aijobster.work/) - Remote Jobs and latest AI jobs at the companies 399 | 400 | 401 | ### Location 402 | 403 | * [Amsterdam](http://amsterdam.ai/) —  AI community and events 404 | * Berlin —  AI community and events 405 | * Beijing - AI community and events 406 | * [Brisbane](https://jracademy.com.au) - AI community and events 407 | * [Sydney](https://www.buildclub.ai/) - Community of builders for AI 408 | * [Sydney](https://chineseai.org.au/) - Chinese AI Association 409 | * Hamburg —  AI community and events 410 | * [Hongkong](http://hkg.ai/) —  AI community and events 411 | * [London](http://www.london.ai/) —  AI community and events 412 | * Madrid —  AI community and events 413 | * Melbourne - AI community and events 414 | * Milan —  AI community and events 415 | * [New York](http://newyork.ai/) —  AI community and events 416 | * Oslo —  AI community and events 417 | * [San Francisco AI meetup](http://www.meetup.com/superintelligencemeetup/) - A local meetup for AI enthusiasts and researchers that we’re involved in. 418 | * [Seattle](http://seattle.city.ai/) —  AI community and events 419 | * Shanghai —  AI community and events 420 | * Shenzhen —  AI community and events 421 | * Singapore —  AI community and events 422 | * Stockholm —  AI community and events 423 | * Sydney - AI community and events 424 | * [Chatbots NYC](https://www.meetup.com/New-York-chatbots-Meetup/) - Meetup in New York City 425 | 426 | * Viv — like Siri but 10x better 427 | * x.ai— meeting scheduling assistant 428 | * Zoom.ai — personal assistant to help you at work 429 | * [澳洲找工作, 澳洲IT](https://jiangren.com.au/) — 匠人学院，找工作，实习，工作内推，全栈班，DevOps学习 430 | * [Web全栈班](https://jiangren.com.au/program-course/web-code-bootcamp-or-learn-to-code-1) — Web开发全栈项目班 431 | * 432 | ## License 433 | 434 | [![CC0](http://i.creativecommons.org/p/zero/1.0/88x31.png)](http://creativecommons.org/publicdomain/zero/1.0/) 435 | 436 | To the extent possible under law, [JR Acacademy](http://jiangren.com.au) and [JR Talent](https://jrtalent.com.au) has waived all copyright and related or neighboring rights to this work. 437 | --------------------------------------------------------------------------------