guiping-su Goto Github PK

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention-learn-to-route

Attention based model for learning to solve different routing problems

automated-feature-engineering

Automated feature engineering in Python with Featuretools

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-spider

爬虫集合

benders-decomposition

Benders decomposition with two subproblem | Integer programming

bilevel-optimization-in-coordination-game

code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cufflinks

Productivity Tools for Plotly + Pandas

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

data-analysis

Data Science Using Python

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

featuretools

An open source python library for automated feature engineering

geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

gym

A toolkit for developing and comparing reinforcement learning algorithms.

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

matrixoptim.jl

Data-Driven Decision Making under Uncertainty in Matrix

molgan-pytorch

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

multiagent-particle-envs

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

np-hard-deep-reinforcement-learning

pytorch neural combinatorial optimization

organ

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

pyca

A more general Python Cellular Automata with multi-dimensions and multi-cell type mix

python

All Algorithms implemented in Python

pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

rlcode