HuachunWang's repositories

attention_is_all_you_need

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

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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。

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deep-residual-networks

Deep Residual Learning for Image Recognition

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densenet-tensorflow

DenseNet Implementation in Tensorflow

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divisive-normalization-model

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

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dqn_pytorch

DQN with pytorch with on Breakout and SpaceInvaders

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DRAW

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

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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LFToolbox

Light Field Toolbox for MATLAB

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MatConvNet-oneclick

MatConvNet使用指南

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mc-cnn

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

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Minecraft

Simple Minecraft-inspired program using Python and Pyglet

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models

Models built with TensorFlow

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modular_rl

Implementation of TRPO and related algorithms

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mujoco-py

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

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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.

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RAM

Recurrent Visual Attention Model

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Reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

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ResNet-Matconvnet

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

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rl-texplore-ros-pkg

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

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rllab

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

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sgm

Semi-Global Matching on the GPU

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torchsearchsorted

Pytorch Custom CUDA kernel for searchsorted

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transformer

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

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visual-dynamics

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

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WGAN-tensorflow

a tensorflow implementation of WGAN

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word-rnn-tensorflow

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

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Yuyudeworld

Just for my codes

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