SciPy2015

Talk for SciPy2015 "Deep Learning: Tips From The Road"

bayesian-rnn

DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in Py...

pytorch-deep-markov-model

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAA...

phgrad

phgrad - Cause there are not enough unusable autograd libraries in python

neural_network_tutorials

A repository demonstrating concise, educational machine learning implementations in python

bayesiandl

Project on Bayesian Deep Learning

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...

onsager_deep_learning

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

bayesian_dense

Bayesian Weight Uncertainty Dense Layer for Keras

ali-pytorch

Adversarially Learned Inference in Pytorch

DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

DeepLearningImplementations

Implementation of recent Deep Learning papers

tensorflow-recipes

A collection of TensorFlow (Tensorpack) implementations of recent deep learning approaches includ...