Computation using data flow graphs for scalable machine learning

This contains my machine learning notes in latex form

An STFT/iSTFT for PyTorch.

Web interface for browsing, search and filtering recent arxiv submissions

Multi-modal time-synched data transmission over local network

微信机器人 / 可能是最优雅的微信个人号 API ✨✨

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

categorical variational autoencoder using the Gumbel-Softmax estimator

Render some probabilistic graphical models using matplotlib

Neural network supported GEV beamformer

Efficient implementation of Wavenet generation.

A TensorFlow implementation of DeepMind's WaveNet paper

Python interface to CMU Sphinxbase and Pocketsphinx libraries

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

Protocol Buffers - Google's data interchange format

A guide on how to be a Programmer - originally published by Robert L Read

A technical report on convolution arithmetic in the context of deep learning

A curated list of awesome lists