huachunwang Goto Github PK

attention_is_all_you_need

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

cnn4stereo

这里存储了两套代码，都是KITTI数据集上下载来用于学习的。

deep-residual-networks

Deep Residual Learning for Image Recognition

densenet-tensorflow

DenseNet Implementation in Tensorflow

divisive-normalization-model

Matlab software associated with Sawada & Petrov (2017, J. Neurophysiology, doi:10.1152/jn.00821.2016)

dqn_pytorch

DQN with pytorch with on Breakout and SpaceInvaders

draw

DRAW(A Recurrent Neural Network For Image Generation) implementation with TensorFlow

gym

A toolkit for developing and comparing reinforcement learning algorithms.

imagebinarydataset

lftoolbox

Light Field Toolbox for MATLAB

matconvnet-oneclick

MatConvNet使用指南

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

minecraft

Simple Minecraft-inspired program using Python and Pyglet

models

Models built with TensorFlow

modular_rl

Implementation of TRPO and related algorithms

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

python-ray-tracer

This is a ray tracer I wrote for a univeristy assignment last year. I don't claim that it is fast or good code.

ram

Recurrent Visual Attention Model

reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

resnet-matconvnet

Train Deep Residual Network from Scratch or or Fine-tune Pre-trained Model using Matconvnet

rl-texplore-ros-pkg

Automatically exported from code.google.com/p/rl-texplore-ros-pkg

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

sgm

Semi-Global Matching on the GPU

torchsearchsorted

Pytorch Custom CUDA kernel for searchsorted

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

visual-dynamics

A reproduction of NIPS 2016 paper (Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks).

wgan-tensorflow

a tensorflow implementation of WGAN

word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

yuyudeworld

Just for my codes