hebaoxianga Goto Github PK

machinelearning-1

周志华《机器学习》

mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

mnist-gan

A Generative Adversarial Network (GAN) for generating mnist digits

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

onelayergdconvergence

paper_notes

This will contain my notes for research papers that I read.

papers-we-love

Papers from the computer science community to read and discuss.

parallel-programing-mpi-with-c-

MPI is specifically used to allow programs to run in parallel across a number of separate computers connected by a network.MPI is a directory of C/C++ programs .

parallelcomputing

Parallel programs written in C with MPI.

pg_travel

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

pwls-ultra-for-low-dose-3d-ct-image-reconstruction

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch_primer

An introductory tutorial for PyTorch

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

rl_algorithms

I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really understanding them.

sjtu-courses

上海交通大学课程资料分享

stackgan

TensorFlow implementation of "Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks" by Han Zhang, et al.

survivesjtumanual

旨在更新2008年版本的《上海交通大学生存手册》并制作成gitbook发布于https://liankeqin.gitbook.io/survivesjtumanual/

svhn-cnn

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

svm-w-smo

Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.