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ml_implementation

Implementation of Machine Learning Algorithms

model_ensemble_meta_learning

models

Models and examples built with TensorFlow

neural-style

Torch implementation of neural style algorithm

numpy-stl

Simple library to make working with STL files (and 3D objects in general) fast and easy.

online-svr

Implementation of Accurate Online Support Vector Regression in Python.

orocos_kinematics_dynamics

Orocos Kinematics and Dynamics C++ library

parl

PARL A high-performance distributed training framework for Reinforcement Learning （『飞桨』强化学习库 ）

pcl

Point Cloud Library (PCL)

proxyee-down

http下载工具，基于http代理，支持多连接分块下载

pyswarms

A research toolkit for particle swarm optimization in Python

python-pcl

Python bindings to the pointcloud library (pcl)

pytorch-examples

Simple examples to introduce PyTorch

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

reinforcement-learning

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

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-code

rl-cn

A translation of Reinforcement Learning: An Introduction

rl-simple-implementation-of-awac-algorithm

Reinforcement Learning : This project aims at implementing an advanced algorithm called AWAC, Advantage weighted Actor Critic algorithm , which is discussed in \cite{nair2020accelerating} This project will attempt to understand the advantages and explore disadvantages (if any) of this algorithm. The main goal of this algorithm is to accelerate online reinforcement learning using offline datasets, which makes it a very useful tool for using reinforcement learning more efficient. But this task is also an extremely complicated and difficult task. The approach discussed in the paper aims to navigate through this task by efficiently handling its challenges with accumulation of error while bootstrapping, stemming from data inefficiency and excessive conservative on line learning.

rl_project_common

rlai-exercises

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

rlkit

Collection of reinforcement learning algorithms

scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)

slbo

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

stac

Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms.

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

xx-net

a web proxy tool

zjuthesis

Zhejiang University Graduation Thesis/Design LaTeX template.