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acl4ssr

SSR 去广告ACL规则/SS完整GFWList规则/Clash规则碎片，Telegram频道订阅地址

acl4ssr-sub.github.io

advanced-planning-using-rl

Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse Reinforcement Learning" published in Robotics and Autonomous Systems, Vol. 114, pp. 1-18, 2019

aes-python

A pure Python implementation of AES

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

aquaria

Aquaria open source, forked from icculus.org due to inactivity. Has many enhancements compared to the original version.

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

batchcap

A cross-platform configurable tool to create screenshot / capture / thumbnail for single or batch videos as previews. It is designed to run in command line or with scripts.

chinesechess-alphazero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

clash-core

backup of clash core

clash-tools

自动同步 Clash Premium 内核、Clash.Meta 内核、Clash dashboard 面板和 AdGuardHome 最新版

concatenator

Split untentionally concatenated lines (usually copied from pdf files).

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-for-solving-job-shop-scheduling-problems

DRL on JSSPs

elf

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

eshoponcontainers

Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET Core 3.0, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.

genetic-algorithm-for-job-shop-scheduling-and-nsga-ii

Learning how to implement GA and NSGA-II for job shop scheduling problem in python

genpac

PAC/Dnsmasq/Wingy file Generator, working with gfwlist, support custom rules.

google-images-download

Bug fixes for the original repository

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

graphnn

Training computational graph on top of structured data (string, graph, etc)

jsondiff

Diff JSON and JSON-like structures in Python

linear_algebra_with_python

Lecture Notes for Linear Algebra Featuring Python

lkhwin-3.0.6

movieinfogen

在豆瓣页面上生成电影介绍信息用于 PT 发布：https://greasyfork.org/zh-CN/scripts/38878-%E7%94%B5%E5%BD%B1%E4%BF%A1%E6%81%AF%E6%9F%A5%E8%AF%A2%E8%84%9A%E6%9C%AC

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

open3d

Open3D: A Modern Library for 3D Data Processing

pac

updated pac

pcl

Point Cloud Library (PCL)