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algs4

Algorithms, 4th edition textbook code and libraries

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

bilstm

book

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

cp-pdf

算法竞赛相关 PDF

cpp_base_learning

C++基础学习

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。

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-nlp-models

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

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。

elegantrl

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

essaykiller_v2

基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化

fullstack-tutorial

🚀 fullstack tutorial 2021，后台技术栈/架构师之路/全栈开发社区，春招/秋招/校招/面试

funnelact

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

handcalcs

Python library for converting Python calculations into rendered latex.

handling-western-reserve-university-bearing-fault-data-using-sparse-self-encoder

This file is about 'Self-encoder' which is a part of the 'AI Training' from SCUT.

hands-on-rl

https://hrl.boyuai.com/

itchat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。

jacob-project

JACOB is a JAVA-COM Bridge that allows you to call COM Automation components from Java. It uses JNI to make native calls to the COM libraries. JACOB runs on x86 and x64 environments supporting 32 bit and 64 bit JVMs. This repository was migrated from Sourceforge 2020/09

java-interview

经历BAT面试后总结的【高级Java后台开发面试指南】，纯净干货无废话，针对高频面试点

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

jna

Java Native Access

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

leetcode-1

LeetCode

mathjax-src

MathJax source code for version 3 and beyond

megengine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mtgnn