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Thanks to all the people who made contributions to this project. Join us and you are welcome to be a contributor. 4 | 5 |

6 | 7 |

8 | 9 | # What is AI for Sign language? 10 | *AI for Sign language* provides papers, methods and processes to make machine translate of Sign language available for Deaf people and researcher, to improve efficiency of intelligence research and to accelerate research on Sign language and gesture. 11 | 12 | ## Paper 13 | ### Collection 14 | + 2020 | 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language 15 | Community, Technological Challenges and Application Perspectives | LREC 2020 | [`PDF`](https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SIGN2020book.pdf?fbclid=IwAR35hZtAeFl7uBCmhowQT_7wc-9fdMwejT-_3_ddCSsJjDGnUBGKdssYg3U) 16 | + 2020 | 14. International Conference on Sign Language and Acquisition | ICSLA 2020 | [`link`](https://waset.org/sign-language-and-acquisition-conference-in-june-2020-in-toronto) 17 | - 2020 | 1st International Workshop on Automatic Translation for Sign and Spoken Languages | I:\Cloud\Yandex\YandexDisk\Library\0_Авторы\КлезовичАнна\2021.mtsummit-at4ssl.pdf 18 | ### Article 19 | - 2019 | Arxiv | Neural Sign Language Translation based on Human Keypoint Estimation | Sang-Ki Ko, Chang Jo Kim, Hyedong Jung, Choongsang Cho [arxiv.org](https://arxiv.org/abs/1811.11436) 20 | + 2018 | ScienceDirect | Selfie video based continuous Indian sign language recognition system | G. AnanthRaoa P.V.V.Kishore | [`link`](https://www.sciencedirect.com/science/article/pii/S2090447917300217?via%3Dihub) 21 | + 2018 | frontier | Visual Iconicity Across Sign Languages: Large-Scale Automated Video Analysis of Iconic Articulators and Locations | Robert Östling, Carl Börstell, Servane Courtaux | [`link`](https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00725/full) 22 | + 2016 | Journal of Intelligent Systems | Movement Epenthesis Detection for Continuous Sign Language Recognition | Ananya Choudhury 23 | , Anjan Kumar Talukdar, Manas Kamal Bhuyan, Kandarpa Kumar Sarma [`link`](https://www.degruyter.com/view/journals/jisys/26/3/article-p471.xml) [PDF](https://www.degruyter.com/downloadpdf/journals/jisys/26/3/article-p471.xml) 24 | - 2018 | | Sign Language Production using Neural Machine Translation and Generative Adversarial Networks | [`Stephanie Stoll`](https://www.cihancamgoz.com/), Necati Cihan Camgoz, Simon Hadfield, Richard Bowden | [`pdf`](http://www.cihancamgoz.com/pub/stoll2018bmvc.pdf) [`GitHub`](https://github.com/neccam/text2gloss) 25 | - 2017 | | SubUNets: End-to-end Hand Shape and Continuous Sign Language Recognition | Necati Cihan Camgoz - University of Surrey, Guildford, UK; Simon Hadfield - University of Surrey, Guildford, UK; Oscar Koller - RWTH Aachen University, Germany; Richard Bowden - University of Surrey, Guildford, UK | [`GitHub`](https://github.com/neccam/SubUNets) 26 | - 2020 | Arxiv | Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation | Necati Cihan Camgoz(1), Oscar Koller(2), Simon Hadfield(1), Richard Bowden(1) - (1)CVSSP, University of Surrey, Guildford, UK, (2)Microsoft, Munich, Germany| [`PDF`](https://arxiv.org/pdf/2003.13830.pdf) [`GitHub`](https://github.com/neccam/slt) 27 | + 2020 | Arxiv | Real-Time Sign Language Detection using Human Pose Estimation | Amit Moryossef, Ioannis Tsochantaridis, Roee Aharoni, Sarah Ebling, Srini Narayanan | [`PDF`](https://arxiv.org/pdf/2008.04637.pdf) | [YouTube](https://youtu.be/nozz2pvbG_Q) | [`Google`](https://ai.googleblog.com/2020/10/developing-real-time-automatic-sign.html?m=1&fbclid=IwAR17_UhSHS22k39OVY7Y54ahYTgpYr38rFEC-expsxjtuOruIINWEUrtqyg) | [`GitHub`](https://github.com/AmitMY/sign-language-detector) | [`Google GitHub`](https://github.com/google-research/google-research/tree/master/sign_language_detection) | Sign Language Processing [`GitHub`](https://amitmy.github.io/sign-language-processing/) 28 | - Predict & Cluster [`GitHub`](https://github.com/shlizee/Predict-Cluster) 29 | - Video-to-HamNoSys Automated Annotation System [aclweb.org](https://www.aclweb.org/anthology/2020.signlang-1.34.pdf) [GitHub](https://github.com/vskobov/video_to_hamnosys) 30 | - Automatic Alignment of HamNoSys Subunits for Continuous Sign Language Recognition [www-i6.informatik.rwth-aachen.de/](https://www-i6.informatik.rwth-aachen.de/publications/download/999/KollerOscarNeyHermannBowdenRichard--AutomaticAlignmentofHamNoSysSubunitsforContinuousSignLanguageRecognition--2016.pdf) [YouTube](https://youtu.be/C_n-rhL4cTA)|[YouTube](https://youtu.be/h7NH6v2kEAM) 31 | - 2018|Sign Language Production using Neural Machine Translation and Generative Adversarial Networks|Stephanie Stoll, Necati Cihan Camgoz, Simon Hadfield, Richard Bowden|[cihancamgoz.com](https://www.cihancamgoz.com/pub/stoll2018bmvc.pdf)|[github](https://github.com/neccam/text2gloss) 32 | - 2021|Fingerspelling Detection in American Sign Language|Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu|[arxiv](https://arxiv.org/pdf/2104.01291.pdf)|[github](https://github.com/chevalierNoir/FS-Detection) 33 | - 2022|Classification of Phonological Parameters in Sign Languages|[arxiv.org](https://arxiv.org/abs/2205.12072) 34 | - 2020 | Phonologically-meaningful Subunits for Deep Learning-based Sign Language Recognition | Mark Borg, Kenneth P. Camilleri [pdf](https://slrtp.com/papers/full_papers/SLRTP.FP.02.012.paper.pdf) from [Pedro Dal Bianco](https://arxiv.org/abs/2211.15481) 35 | - 2022 | LSA-T: The first continuous Argentinian Sign Language dataset for Sign Language Translation | Pedro Dal Bianco, Gastón Ríos, Franco Ronchetti, Facundo Quiroga, Oscar Stanchi, Waldo Hasperué, Alejandro Rosete 36 | | [arxiv.org](https://arxiv.org/abs/2211.15481) 37 | - 2022 | Keypoint based Sign Language Translation without Glosses | Youngmin Kim, Minji Kwak, Dain Lee, Yeongeun Kim, Hyeongboo Baek | [arxiv.org](https://arxiv.org/abs/2204.10511) from from [Pedro Dal Bianco](https://arxiv.org/abs/2211.15481) 38 | ### Book 39 | - HamNoSys based Sign Language Generation System [Amazon](https://www.amazon.com/HamNoSys-based-Language-Generation-System/dp/3330044098) 40 | - Sign Language Translation Using Multi Context Transformer [https://link.springer.com/](https://link.springer.com/chapter/10.1007/978-3-030-89820-5_25) [GitHub](https://github.com/MBadriNarayanan/MultiContextTransformer) От Максима Бакаева 41 | - Progressive Transformers for End-to-End Sign Language Production [arxiv.org](https://arxiv.org/abs/2004.14874) [link.springer.com/](https://link.springer.com/chapter/10.1007/978-3-030-58621-8_40) [Progressive Transformers for End-to-End Sign Language Production](https://github.com/BenSaunders27/ProgressiveTransformersSLP) От Максима Бакаева 42 | - Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos, 2013 [jmlr.org](https://www.jmlr.org/papers/volume14/roussos13a/roussos13a.pdf) 43 | 44 | 45 | 46 | ## Projects 47 | + 2019 | Spatial Temporal Graph Convolutional Networks for Sign Language (ST-GCN-SL) Recognition (Not Tested) | [`GitHub`](https://github.com/amorim-cleison/st-gcn-sl) [`Arxiv`](https://arxiv.org/abs/1901.11164) [`Arxiv`](https://arxiv.org/abs/1801.07455) 48 | + 2018 | Sign Language gesture recognition from video sequences (Tested) | [`Github`](https://github.com/hthuwal/sign-language-gesture-recognition) [`Springer`](https://link.springer.com/chapter/10.1007/978-981-10-7566-7_63) 49 | + SigNN (Colab,OpenPose, MediaPipe) (Not tested) | [`GitHub`](https://github.com/Gilgahex/mediapipe) 50 | - 2020 | BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues | [`link`](https://www.robots.ox.ac.uk/~vgg/research/bsl1k/) [`GitHub`](https://github.com/gulvarol/bsl1k) [`Arxiv`](https://arxiv.org/abs/2007.12131) 51 | - 2017 | sign2text | [GitHub](https://github.com/BelalC/sign2text) 52 | 53 | # Other aeras 54 | ## Linguistic 55 | ### Collection 56 | + 2020 | Formal and Experimental Advances in Sign Language Theory | FEAST 2020: Online | [`sites.google.com`](https://sites.google.com/site/feastconference/home) 57 | ### Book 58 | - 2019 | Press Cambridge University | Sign Language Phonology | Brentari, D. | [`content`](https://assets.cambridge.org/97811071/13473/frontmatter/9781107113473_frontmatter.pdf) | [`index`](https://assets.cambridge.org/97811071/13473/index/9781107113473_index.pdf) | [`introduction`](https://assets.cambridge.org/97811071/13473/excerpt/9781107113473_excerpt.pdf) 59 | + 1998 | A Prosodic Model of Sign Language Phonology Language, Speech, and Communication| Brentari, D. | [`private cloud`](https://docviewer.yandex.ru/view/30612767/?*=CohlLapz2jq%2BBqpRKZ3tUALHWFF7InVybCI6InlhLWRpc2s6Ly8vZGlzay9MaWJyYXJ5LzBf0JDQstGC0L7RgNGLL0RpYW5lQnJlbnRhcmkvQnJlbnRhcmk5OV9Qcm9zaWNfTW9kZWwucGRmIiwidGl0bGUiOiJCcmVudGFyaTk5X1Byb3NpY19Nb2RlbC5wZGYiLCJub2lmcmFtZSI6ZmFsc2UsInVpZCI6IjMwNjEyNzY3IiwidHMiOjE1OTI3MjU5NTM1NjgsInl1IjoiNDE5NTM2NzAxMTU5MDIwNTM4MSJ9) 60 | 61 | ### Articles 62 | - Many-to-English Machine Translation Tools, Data, and Pretrained Models [`Arxiv`](https://arxiv.org/abs/2104.00290) 63 | + 2019 | Исследования и разработки в области новых информационных технологий и их приложений | Межъязыковые особенности жестовых языков(на материале жестов в знаковой форме) | Мясоедова М.А., Мясоедова З.П. | [`PDF`](https://cyberleninka.ru/article/n/mezhyazykovye-osobennosti-zhestovyh-yazykov-na-materiale-zhestov-v-znakovoy-forme/viewer) 64 | + 2018 | Modern Information Technologies and IT-Education | Жестовые нотации и их сравнительный анализ | Мясоедова М.А., Мясоедова З.П. | [`pdf`](https://cyberleninka.ru/article/n/zhestovye-notatsii-i-ih-sravnitelnyy-analiz/viewer) 65 | + 2018 | Исследования и разработки в области новых информационных технологий и их приложений | Корпус жестов в письменной форме как инструмент для исследования особенностей их формирования(на примере русского жестового языка) | Мясоедова М.А., Мясоедова З.П. | [`pdf`](https://cyberleninka.ru/article/n/korpus-zhestov-v-pismennoy-forme-kak-instrument-dlya-issledovaniya-osobennostey-ih-formirovaniya-na-primere-russkogo-zhestovogo-yazyka/viewer) 66 | - Units in the analisis of signs [https://harry-van-der-hulst.uconn.edu/](https://harry-van-der-hulst.uconn.edu/wp-content/uploads/sites/1733/2016/05/051-Units-in-the-analysis-of-sign.pdf) 67 | - 2021 | Learn OpenCV | Introduction to Video Classification and Human Activity Recognition [`learnopencv.com`](https://learnopencv.com/introduction-to-video-classification-and-human-activity-recognition/) 68 | 69 | ### Projects 70 | + Sutton Sign Writing | [`office site`](https://www.signwriting.org/) [`YouTube`](https://www.youtube.com/user/signwriting/featured) 71 | + Sign Writing code | [`personal site`](https://steveslevinski.me/) [`GitHub`](https://slevinski.github.io/SuttonSignWriting/) [`YouTube`](https://www.youtube.com/channel/UCXu4AXlG0rXFtk_5SzumDow/videos) 72 | + Sign Language Recognition: Video Understanding through Deep Learning | [`docs`](https://docs.google.com/presentation/d/1KSgJM4jUusDoBsyTuJzTsLIoxWyv6fbBzojI38xYXsc/edit#slide=id.gc6f9e470d_0_0) | [`GitHub`](https://github.com/FrederikSchorr/sign-language) 73 | - Symbol Font for ASL. How can you read and write American Sign Language? [github.io](https://aslfont.github.io/Symbol-Font-For-ASL/elements-of-asl.html) 74 | - Multi-modal Ensemble 75 | - Arxiv.org | Skeleton Aware Multi-modal Sign Language Recognition | Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu [arxiv.org](https://arxiv.org/abs/2103.08833) | [github](https://github.com/jackyjsy/CVPR21Chal-SLR/) 76 | - Arxiv.org | Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble | Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu [arxiv.org](https://arxiv.org/abs/2110.06161) | [github](https://github.com/jackyjsy/SAM-SLR-v2) 77 | 78 | ### Q&A 79 | - Как правильно лингвистически назвать движения рук, когда они только поднимаются от корпуса тела, чтобы показать жест и опускаются уже после показа жеста? Между несколькими жестами есть “переходные жесты” - это понятно. А вот при исполнении одного жеста. 80 | - Начальное - это подготовительное движение. Конечное, когда рука возвращается в исходное положение, -- нет специального термина. Но вообще можно использовать термины из лингвистики звуковых языков, обозначающие фазы артикуляции звука. Здесь, по сути, ведь то же самое: 1. Экскурсия( подготовка органов к артикуляции). 2. Выдержка(фаза артикуляции). 3. Рекурсия(возврат органов артикуляции в исходное положение). 81 | 82 | 83 | 84 | 85 | ## AI 86 | ### Articles 87 | #### Research 88 | + | Arxiv | Unsupervised Learning of Video Representations using LSTMs | Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov | [`pdf`](https://arxiv.org/abs/1502.04681) [`GitHub`](https://github.com/mansimov/unsupervised-videos) [`dataset`](http://www.cs.toronto.edu/~nitish/unsupervised_video/) 89 | + | Arxiv | A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective | Yuji Roh, Geon Heo, Steven Euijong Whang, Senior Member, IEEE | [`pdf`](https://arxiv.org/pdf/1811.03402.pdf) 90 | + | Arxiv | A Survey of Deep Learning for Scientific Discovery | Maithra Raghu(1,2), Eric Schmidt(1,3) - (1)Google, (2)Cornell University, (3)Schmidt Futures | [`pdf`](https://arxiv.org/pdf/2003.11755.pdf) 91 | - | CBMM | Object-Oriented Deep Learning | Liao, Q, Poggio, T | [`MIT`](https://cbmm.mit.edu/publications/object-oriented-deep-learning) [`pdf`](https://cbmm.mit.edu/sites/default/files/publications/CBMM-Memo-070.pdf) 92 | - | Arxiv | Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates | Leslie N. Smith, Nicholay Topin | [`pdf`](https://arxiv.org/pdf/1708.07120.pdf). On the recommendation of Jeremy Howard 93 | - | Arxiv | Context Based Emotion Recognition using EMOTIC Dataset | Ronak Kosti, Jose M. Alvarez, Adria Recasens, Agata Lapedriza | [`pdf`](https://arxiv.org/pdf/2003.13401.pdf) 94 | - | Arxiv | Structured Query-Based Image Retrieval Using Scene Graphs | Brigit Schroeder, Subarna Tripathi | [`pdf`](https://arxiv.org/pdf/2005.06653.pdf) [`YouTube`](https://youtu.be/-wRlKWDuIXg) 95 | - | CVPR15 | Image Retrieval using Scene Graphs | Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei | [`Stanford`](https://cs.stanford.edu/people/jcjohns/cvpr15_supp/) [`pdf`](https://hci.stanford.edu/publications/2015/scenegraphs/JohnsonCVPR2015.pdf) [`GitHub`](https://github.com/vishwajeet97/multimodal-scene-graph) [`GitHub from Google`](https://github.com/google/sg2im) [`GitHub`](https://github.com/vishwajeet97/multimodal-scene-graph) 96 | - | Arxiv | A Framework For Contrastive Self-Supervised Learning And Designing A New Approach | William Falcon, Kyunghyun Cho | [`Arxiv`](https://arxiv.org/pdf/2009.00104.pdf) | Author is creator of PyTorch Lightning 97 | - | Arxiv | RAFT: Recurrent All-Pairs Field Transforms for Optical Flow | Zachary Teed, Jia Deng | [`Arxiv`](https://arxiv.org/pdf/2003.12039.pdf) [`GitHub`](https://github.com/princeton-vl/RAFT) 98 | - | Arxiv | Synthetic Data for Deep Learning| Sergey I. Nikolenko | [`GitHub`](https://arxiv.org/pdf/1909.11512.pdf) 99 | ### Paper 100 | - Machine Learning: Detecting Dropped Pacifiers [`medium`](https://medium.com/swlh/machine-learning-detecting-dropped-pacifiers-c9bfab80934e) 101 | 102 | ### Project 103 | + Video-to-Video Synthesis | [`link`](https://tcwang0509.github.io/vid2vid/) [`GitHub`](https://github.com/NVIDIA/vid2vid) 104 | - IPN Hand: A Video Dataset for Continuous Hand Gesture Recognition [`GiyHub.io`](https://gibranbenitez.github.io/IPN_Hand/) 105 | - PrototypeML: Powerful & Intuitive Visual Neural Network Design Platform for PyTorch [`offical`](https://prototypeml.com/) 106 | - DeepStack AI Server Open Source: Build and deploy AI powered applications with in-built and custom AI APIs, all offline and Self-Hosted [`offical`](https://deepstack.cc/)|[`deepquestai.com`](https://deepquestai.com/) | [`medium`](https://medium.com/deepquestai/deepstack-ai-server-now-open-source-a0a35e53bd51) 107 | - MotionGPT: Human Motion as Foreign Language [offical](https://motion-gpt.github.io/) | [Arxiv](https://arxiv.org/pdf/2306.14795.pdf) | [GitHub](https://github.com/openmotionlab/motiongpt) | [dataset](https://paperswithcode.com/dataset/amass) | 108 | 109 | ### Awesome 110 | + Awesome-AutoML-Papers | [`GitHub`](https://github.com/hibayesian/awesome-automl-papers) 111 | + Awesome-AutoML | [`GitHub`](https://github.com/windmaple/awesome-AutoML) 112 | + Awesome-data-labeling | [`GitHub`](https://github.com/heartexlabs/awesome-data-labeling) 113 | + Hand Pose Estimation | [`GitHub`](https://github.com/xinghaochen/awesome-hand-pose-estimation) 114 | + Awesome production machine learning | [`GitHub`](https://github.com/EthicalML/awesome-production-machine-learning#industrial-strength-visualisation-libraries) 115 | + Awesome jupyter [`GitHub`](https://github.com/markusschanta/awesome-jupyter) 116 | + Awesome Mobile Machine Learning [`GitHub`](https://github.com/fritzlabs/Awesome-Mobile-Machine-Learning) 117 | + Awesome production machine learning [`GitHub`](https://github.com/EthicalML/awesome-production-machine-learning) 118 | - Awesome AI Guidelines [`GitHub`](https://github.com/EthicalML/awesome-artificial-intelligence-guidelines) 119 | - Awesome gesture recognition [GitHub](https://github.com/ChanChiChoi/awesome-Gesture-Recognition) 120 | - Awesome Spark [GitHub](https://github.com/awesome-spark/awesome-spark) 121 | - Awesome Dataset Tools [github](https://github.com/jsbroks/awesome-dataset-tools) 122 | - Awesome Sign Language Rcognition and Sign Language Translation [github](https://github.com/jackyjsy/awesome-sign-language-recognition) 123 | - Awesome open data-centric AI [github](https://github.com/Renumics/awesome-open-data-centric-ai) 124 | ### Demo 125 | + Try out deep learning models online on Colab with a single click | [`GitHub`](https://github.com/tugstugi/dl-colab-notebooks) 126 | - Handshape Recognition [`GitHub`](https://github.com/okason97/handshape-recognition) 127 | - Teach sign language to AI drone [`YouTube`](https://youtu.be/dbfIFTCClQo) | Source code for simple object recognition using YOLO Darknet + 128 | script to slice video into images [`BitBucket`](https://bitbucket.org/RobotAndCode/tello-ai-yolo/src/master/) | from [`YouTube`](https://www.youtube.com/channel/UCQam-u9KZaMSelXoJDRrYJA/featured) 129 | - Yolact [`GitHub`](https://github.com/dbolya/yolact) | Yolact_minimal [`GitHub`](https://github.com/feiyuhuahuo/Yolact_minimal) 130 | - MANO hand model [`GitHub`](https://github.com/otaheri/MANO) 131 | - Sign Language Recognition Using Hand Gestures [`GitHub`](https://github.com/shadabsk/Sign-Language-Recognition-Using-Hand-Gestures-Keras-PyQT5-OpenCV) [`YouTube`](https://youtu.be/vXSTZNEkHlg) 132 | - AI Experiments [`experiments.withgoogle.com/`](https://experiments.withgoogle.com/collection/ai) 133 | - Semantic Shapes: Custom Semantic Segmentation Tutorial/ Pipeline [`GitHub`](https://github.com/seth814/Semantic-Shapes) | Custom Semantic Segmentation Tutorial [`YouTube`](https://www.youtube.com/watch?v=-Z7Sx2sS8z8&list=PLhA3b2k8R3t3zhbjDmqHudUTZqvRdELgd) 134 | - Video to 3DPose and Bvh motion file [`GitHub`](https://github.com/HW140701/VideoTo3dPoseAndBvh) 135 | - GestureRecognition [GitHub](https://github.com/nicknochnack/GestureRecognition) | CustomGestureRecognition [Github](https://github.com/nicknochnack/CustomGestureRecognition) 136 | - GEZR - Gesture Analyzer [GitHub](https://github.com/DoubleNy/gezr) 137 | 138 | 139 | ### Course 140 | - Full Stack Deep Learning | [`link`](https://fullstackdeeplearning.com) 141 | 142 | ### Book 143 | - Data Visualization: A Practical Introduction | Kieran Healy 144 | 145 | ### Roadmap 146 | - 2020 Machine Learning Roadmap | [`GitHub`](https://github.com/mrdbourke/machine-learning-roadmap) [`YouTube`](https://youtu.be/pHiMN_gy9mk) 147 | - Machine Learning Mindmap / Cheatsheet [`GitHub`](https://github.com/dformoso/machine-learning-mindmap) 148 | - AI Expert Roadmap [`GitHub`](https://github.com/AMAI-GmbH/AI-Expert-Roadmap) | [`i.am.ai/roadmap`](https://i.am.ai/roadmap/#note) 149 | - Machine learning engineer roadmap in 2020 [`GitHub`](https://github.com/chris-chris/ml-engineer-roadmap) 150 | 151 | ### Labeling data and active learing machine learning 152 | + modAL Active learning | [`GitHub`](https://github.com/modAL-python/modAL) | [`Arxiv`](https://arxiv.org/pdf/1805.00979.pdf) | мой пример [`Colab`](https://gist.github.com/YAYAYru/7a58fe4489f9236fcb02e45f02a5f6be) from Interactive labeling with Jupyter [`GitHub`](https://github.com/modAL-python/modAL/blob/master/docs/source/content/examples/interactive_labeling.ipynb) 153 | - Jupyanno is simple labeling data tool in Jupyter [GitHub](https://github.com/chestrays/jupyanno) 154 | + An Efficient Way to Label Your Images with Jupyter Notebook [`TowardsDataScience`](https://towardsdatascience.com/label-your-images-easily-using-this-jupyter-notebook-code-4102037b7821) 155 | - Label Studio(There is about Active Learning) [`GitHub`](https://github.com/heartexlabs/label-studio) [`offical`](https://www.heartex.ai/) 156 | - pigeonXT - Quickly annotate data in Jupyter Lab [`GitHub`](https://github.com/dennisbakhuis/pigeonXT) [`TowardsDataScience`](https://towardsdatascience.com/quickly-label-data-in-jupyter-lab-999e7e455e9e) 157 | - Human in the Loop: как сократить ресурсы на разметку данных [`NeuroHive`](https://neurohive.io/ru/novosti/human-in-the-loop-kak-sokratit-resursy-na-razmetku-dannyh/?fbclid=IwAR3dx3PGxsVZ3eUYdh9gyHCJsmFzApyW-V12-MeQBsaY832Fp7bRyS9tkBA) 158 | 159 | ### Framework 160 | + PyTorch Lightning [`official`](https://www.pytorchlightning.ai/) | [`GitHub`](https://github.com/PyTorchLightning/pytorch-lightning) 161 | - Seamlessly train hundreds of Machine Learning models on the cloud from your laptop [`official`](https://www.grid.ai/) 162 | - Talks # 13: William Falcon; Stop engineering, start winning - How to Kaggle with PyTorch Lightning [YouTube](https://youtu.be/H3wAuZuru2c) 163 | - Lightly: Lightly is a computer vision framework for self-supervised learning [`lightly.ai`]([`https://www.lightly.ai/`]) [`GitHub`](https://github.com/lightly-ai/lightly) 164 | 165 | 166 | # TODO 167 | - Add. About phonological processes | Linguistics of American Sign Language: An Introduction | Clayton Valli, Ceil Lucas | [Google books](https://books.google.ru/books?id=mfS3GlTLAUMC&pg=PA42&lpg=PA42&dq=movement+epenthesis+asl&source=bl&ots=QsVhQu-fDz&sig=ACfU3U0jYVizhwaKOBhv9rj7-xXLPqh-Rw&hl=ru&sa=X&ved=2ahUKEwi16K3v2JTqAhVilosKHZ2ABiUQ6AEwA3oECAoQAQ#v=onepage&q=movement%20epenthesis%20asl&f=false) 168 | - Change all publishing organizations and article title 169 | - Read about motion estimation https://www.youtube.com/watch?v=oluw16wExDY 170 | --------------------------------------------------------------------------------