Stars
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Retrofitting Word Vectors to Semantic Lexicons
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
An HTML5 saveAs() FileSaver implementation
An opinionated list of Python frameworks, libraries, tools, and resources
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Extension of the original word2vec using different architectures
A Python implementation of LightFM, a hybrid recommendation algorithm.
categorical variational autoencoder using the Gumbel-Softmax estimator
A d3-based parallel coordinates plot in canvas. This library is no longer actively developed.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
Sakai is a freely available, feature-rich technology solution for learning, teaching, research and collaboration. Sakai is an open source software suite developed by a diverse and global adopter co…
Run Keras models in the browser, with GPU support using WebGL
Benchmarking Deep Learning operations on different hardware
Interactive Image Generation via Generative Adversarial Networks
Sequence-to-sequence model with LSTM encoder/decoders and attention
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Lime: Explaining the predictions of any machine learning classifier
Summarizing Source Code using a Neural Attention Model - CODENN
Magenta: Music and Art Generation with Machine Intelligence
Library for fast text representation and classification.