Pinned Repositories
awesome-deep-learning-papers
The most cited deep learning papers
bgslibrary
A Background Subtraction Library
cs231n.github.io
Public facing notes page
darkforestGo
DarkForest, the Facebook Go engine.
datasharing
The Leek group guide to data sharing
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.
iPM3F
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.
MoG-RPCA
MoG-RPCA for ICML 2014
timmyzhao's Repositories
timmyzhao/MoG-RPCA
MoG-RPCA for ICML 2014
timmyzhao/awesome-deep-learning-papers
The most cited deep learning papers
timmyzhao/bgslibrary
A Background Subtraction Library
timmyzhao/cs231n.github.io
Public facing notes page
timmyzhao/darkforestGo
DarkForest, the Facebook Go engine.
timmyzhao/datasharing
The Leek group guide to data sharing
timmyzhao/dl-setup
Instructions for setting up the software on your deep learning machine
timmyzhao/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
timmyzhao/iPM3F
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
timmyzhao/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
timmyzhao/lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
timmyzhao/MatlabStan
Matlab interface to Stan, a package for Bayesian inference
timmyzhao/PCV
Open source Python module for computer vision
timmyzhao/PRMLT
Pattern Recognition and Machine Learning Toolbox
timmyzhao/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 ;)
timmyzhao/ptstat
Probabilistic Programming and Statistical Inference in PyTorch
timmyzhao/public
SailingLab's Petuum project.
timmyzhao/pymc
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
timmyzhao/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
timmyzhao/tensorflow
Computation using data flow graphs for scalable machine learning
timmyzhao/xgboost
Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.