happyhiroc

SecurityInterviewGuide

网络信息安全从业者面试指南

P-tuning

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

graphframex

GraphFramEx: a systematic evaluation framework for explainability methods on GNNs

hugging-llm

HuggingLLM, Hugging Future.

GNNLens2

Visualization tool for Graph Neural Networks

Chinese-Reading-Notes-of-Graph-Learning

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

zotero-better-bibtex

Make Zotero effective for us LaTeX holdouts

thorough-pytorch

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

cs224w-2021-winter-colab

cs224w（图机器学习）2021冬季课程的colab

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dl-engineer-guidebook

深度学习工程师生存指南

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

CTGCN

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Graph2Seq

Graph Neural Networks including GAT\GCN\GGNN，GGNN-LSTM,using scene graph to generate captions

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

book-resources

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

joyful-pandas

pandas中文教程

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记