├── .github └── FUNDING.yml └── README.md /.github/FUNDING.yml: -------------------------------------------------------------------------------- 1 | # These are supported funding model platforms 2 | 3 | github: rwieruch 4 | patreon: # rwieruch 5 | open_collective: # Replace with a single Open Collective username 6 | ko_fi: # Replace with a single Ko-fi username 7 | tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel 8 | community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry 9 | liberapay: # Replace with a single Liberapay username 10 | issuehunt: # Replace with a single IssueHunt username 11 | otechie: # Replace with a single Otechie username 12 | custom: # Replace with a single custom sponsorship URL 13 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # BRIIM - JavaScript in Machine Learning 2 | 3 | The repository gives you an overview of all the resources for [BRIIM - JavaScript in Machine Learning](https://bri.im/). You can [contribute](https://github.com/javascript-machine-learning/briim-website-content) content to the official website too. 4 | 5 | ## Intro 6 | 7 | * [A Guide to Machine Learning in JavaScript](https://www.robinwieruch.de/machine-learning-javascript-web-developers/) 8 | 9 | ## Shallow Algorithms 10 | 11 | * [Linear Regression with Gradient Descent](https://github.com/javascript-machine-learning/linear-regression-gradient-descent) 12 | * [Univariate Linear Regression with Gradient Descent (Vectorized)](https://github.com/javascript-machine-learning/univariate-linear-regression-gradient-descent-javascript) 13 | * [Multivariate Linear Regression with Gradient Descent](https://github.com/javascript-machine-learning/multivariate-linear-regression-gradient-descent-javascript) 14 | * [Multivariate Linear Regression with Normal Equation](https://github.com/javascript-machine-learning/multivariate-linear-regression-normal-equation-javascript) 15 | * [Logistic Regression with Gradient Descent in JavaScript](https://github.com/javascript-machine-learning/logistic-regression-gradient-descent-javascript) 16 | * [Multi-Class Classification Logistic Regression with Gradient Descent in JavaScript](https://github.com/javascript-machine-learning/multi-classification-logistic-regression-gradient-descent-javascript) 17 | 18 | ## Neural Networks 19 | 20 | * [Neural Network in JavaScript with Deeplearn.js](https://github.com/javascript-machine-learning/color-accessibility-neural-network-deeplearnjs) 21 | * [MNIST Digit Recognition Neural Network in JavaScript with Deeplearn.js](https://github.com/javascript-machine-learning/mnist-neural-network-deeplearnjs) 22 | 23 | ## Domain Specific 24 | 25 | * [Recommendation System in JavaScript with MovieLens Database](https://github.com/javascript-machine-learning/movielens-recommender-system-javascript) 26 | * [Spam Classifier with SVM in JavaScript](https://github.com/javascript-machine-learning/svm-spam-classifier-javascript) 27 | 28 | ## Linear Algebra, Calculus, Statistics 29 | 30 | * [Matrix Operations in JavaScript](https://github.com/javascript-machine-learning/linear-algebra-matrix) 31 | 32 | ## Utility Libraries 33 | 34 | * [Math.js Util](https://github.com/javascript-machine-learning/mathjs-util) 35 | * [CSV to Matrix](https://github.com/javascript-machine-learning/csv-to-array-matrix) 36 | --------------------------------------------------------------------------------