GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifierYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Relicensing React, Jest, Flow, and Immutable.js
Next week, we are going to relicense our open source projects React, Jest, Flow, and Immutable.js under the MIT license. We’re relicensing these projects because React is the foundation of a broad ecosystem of open source software for the web, and we don’t want to hold back forward progress for nontechnical reasons. This decision comes after several weeks of disappointment and uncertainty for our
deeplearn.js
deeplearn.js is an open-source library that brings performant machine learning building blocks to the web, allowing you to train neural networks in a browser or run pre-trained models in inference mode. We provide an API that closely mirrors the TensorFlow eager API. deeplearn.js was originally developed by the Google Brain PAIR team to build powerful interactive machine learning tools for the bro
10 Machine Learning Examples in JavaScript
Machine learning libraries are becoming faster and more accessible with each passing year, showing no signs of slowing down. While traditionally Python has been the go-to language for machine learning, nowadays neural networks can run in any language, including JavaScript! The web ecosystem has made a lot of progress in recent times and although JavaScript and Node.js are still less performant tha
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GitHub - janhuenermann/neurojs: A JavaScript deep learning and reinforcement learning library.
GitHub - trkbt10/mikan.js: 機械学習を用いていない日本語改行問題へのソリューション
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