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aaai

autograd

Efficiently computes derivatives of numpy code.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

caffe

Caffe

caffe-tensorflow

Caffe models in TensorFlow

code4reference

This repo has code which can be referred as example code. These code have been written for learning purpose.

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

ctci

Cracking the Coding Interview, 5th Edition

ctci-6th-edition

Cracking the Coding Interview 6th Ed. Solutions

deepfood

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

digits

Deep Learning GPU Training System

gama-opt

gdda

gdsda_all

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hacker-scripts

Based on a true story

icdm

icdm16

icmlversion

ijcai

keras

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

keras-fcn

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

keras_bn_library

keras extended library

pakdd

papers

Paper

paytm

policy-gradient

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

records-research

seq2seq

Sequence to Sequence Learning with Keras