From e6b3e9e09242896cb067de7bb2dcf8888cf98d16 Mon Sep 17 00:00:00 2001 From: Muhammad Yaseen Date: Fri, 9 Feb 2018 12:57:46 +0500 Subject: [PATCH] Added KerasJS and Lime (explainable ML) --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 4c8b869..c2d61e0 100644 --- a/README.md +++ b/README.md @@ -487,6 +487,7 @@ Further resources: * [figue](https://code.google.com/archive/p/figue) - K-means, fuzzy c-means and agglomerative clustering. * [Gaussian Mixture Model](https://github.com/lukapopijac/gaussian-mixture-model) - Unsupervised machine learning with multivariate Gaussian mixture model. * [Node-fann](https://github.com/rlidwka/node-fann) - FANN (Fast Artificial Neural Network Library) bindings for Node.js +* [Keras.js](https://github.com/transcranial/keras-js) - Run Keras models in the browser, with GPU support provided by WebGL 2. * [Kmeans.js](https://github.com/emilbayes/kMeans.js) - Simple Javascript implementation of the k-means algorithm, for node.js and the browser. * [LDA.js](https://github.com/primaryobjects/lda) - LDA topic modeling for Node.js * [Learning.js](https://github.com/yandongliu/learningjs) - Javascript implementation of logistic regression/c4.5 decision tree @@ -1002,6 +1003,7 @@ be * [visualize_ML](https://github.com/ayush1997/visualize_ML) - A python package for data exploration and data analysis. * [scikit-plot](https://github.com/reiinakano/scikit-plot) - A visualization library for quick and easy generation of common plots in data analysis and machine learning. * [Bowtie](https://github.com/jwkvam/bowtie) - A dashboard library for interactive visualizations using flask socketio and react. +* [lime](https://github.com/marcotcr/lime) - Lime is about explaining what machine learning classifiers (or models) are doing. It is able to explain any black box classifier, with two or more classes. #### Misc Scripts / iPython Notebooks / Codebases