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2019_lab1_os-ai

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2019_os-ai3

awesome

😎 Awesome lists about all kinds of interesting topics

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

dataset

deeplearning-models

A collection of various deep learning architectures, models, and tips

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

entity_linking

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gnn_review

GNN综述阅读报告

gnnpapers

Must-read papers on graph neural networks (GNN)

graphcl

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

graphstone

An implementation of "Graph Structural-topic Neural Network"

info-nce-pytorch

PyTorch implementation of the InfoNCE loss for self-supervised learning.

java-tutorial

【Java工程师面试复习指南】本仓库涵盖大部分Java程序员所需要掌握的核心知识，整合了互联网上的很多优质Java技术文章，力求打造为最完整最实用的Java开发者学习指南，如果对你有帮助，给个star告诉我吧，谢谢！

journal-of-computers-template

计算机学报 LaTeX 模板

kdga

Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

linux2020

The code commitment repository for the Linux course of LNU.

mgmn

Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"

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。

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

mtbook

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pygcl

PyGCL: A PyTorch Library for Graph Contrastive Learning

python-study

准研一自学python，代码存储

pytorch-sentiment-classification

LSTM and CNN sentiment analysis