timmyzhao,github

dl-setup

Instructions for setting up the software on your deep learning machine

edward

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

Source code and data for the paper "Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction" accepted to NIPS'2012 and "Fast Max-Margin Matrix Factorization with Data Augmentation" accepted to ICML'2013

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

matlabstan

Matlab interface to Stan, a package for Bayesian inference

mog-rpca

MoG-RPCA for ICML 2014

pcv

Open source Python module for computer vision

prmlt

Pattern Recognition and Machine Learning Toolbox

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

ptstat

Probabilistic Programming and Statistical Inference in PyTorch

public

SailingLab's Petuum project.

pymc

PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

tensorflow

Computation using data flow graphs for scalable machine learning

xgboost

Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.

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