winterandchaiyun Goto Github PK

agentgo

A mutithread Go AI using the Monte Carlo method & min-max tree

blackjack

21 point

caffe

Caffe: a fast open framework for deep learning.

cvpr2015

darkforestgo

DarkForest, the Facebook Go engine.

dataload

A collection of Torch dataset loaders

deep-learning-demo

记录小润学习的深度学习相关，首先是 Caffe、TensorFlow、Theano、Keras 框架，之后再补充 Torch

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-residual-networks

Deep Residual Learning for Image Recognition

deepcut

Multi Person Pose Estimation

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deepqlearning

A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.

deepskeleton

:racehorse:code for cvpr2016 paper "Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs"

digit

digital meter numbers detection. :one: :two: :three:

go

Go Engine based on Monte-Carlo

go-ai

Toy Go game AI

gocnn

using CNN to do move prediction and board evaluation for the board game Go

hellogit

hello world to github

intrinsic

keras

Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.

latex-homework-template

The LaTeX file that I use as the base for all my homeworks in university.

latex-template-cn

\LaTeX 中文模版收集。

must-read

must read materials for Go AI Project

mylist

by Zhou Jingguang

neural-style

Torch implementation of neural style algorithm

py-r-fcn-multigpu

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation, without using any person detector.

torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

torchnet

Torch on steroids

winterandchaiyun.github.io