happyhiroc

happyhiroc's Stars

• MisterBooo/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）

  Language:Java75.4k2.6k5914k

• microsoft/ML-For-Beginners

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

  Language:HTML69.5k1k13314.4k

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML31.9k9996710.6k

• tatsu-lab/stanford_alpaca

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

  Language:Python29.4k3412684k

• AMAI-GmbH/AI-Expert-Roadmap

  Roadmap to becoming an Artificial Intelligence Expert in 2022

  Language:JavaScript29.1k965642.5k

• fengdu78/deeplearning_ai_books

  deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

  Language:HTML18k640655.9k

• dair-ai/ml-visuals

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

  13.4k115491.4k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.3k284221.8k

• Fafa-DL/Lhy_Machine_Learning

  李宏毅2021/2022/2023春季机器学习课程课件及作业

  Language:Jupyter Notebook6.1k50131.6k

• retorquere/zotero-better-bibtex

  Make Zotero effective for us LaTeX holdouts

  Language:TypeScript5.3k472.2k284

• datawhalechina/joyful-pandas

  pandas中文教程

  Language:Jupyter Notebook4.6k151221.9k

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.1k5819484

• datawhalechina/hugging-llm

  HuggingLLM, Hugging Future.

  Language:Jupyter Notebook2.8k4011354

• datawhalechina/thorough-pytorch

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

  Language:Jupyter Notebook2.5k1749414

• PacktPublishing/The-Kaggle-Book

  Code Repository for The Kaggle Book, Published by Packt Publishing

  Language:Jupyter Notebook2.2k344455

• graykode/distribution-is-all-you-need

  The basic distribution probability Tutorial for Deep Learning Researchers

  Language:Python1.6k534385

• datawhalechina/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。

  1.5k3613187

• FeeiCN/SecurityInterviewGuide

  网络信息安全从业者面试指南

  1.4k272143

• THUDM/P-tuning

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

  Language:Python9152350112

• ypwhs/dl-engineer-guidebook

  深度学习工程师生存指南

  Language:Python853478100

• acbull/pyHGT

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

  Language:Python7861453162

• analyticalmindsltd/smote_variants

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

  Language:Jupyter Notebook6301535137

• PetarV-/DGI

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

  Language:Python6281219135

• oreilly-mlsec/book-resources

  Language:Jupyter Notebook284221170

• dmlc/GNNLens2

  Visualization tool for Graph Neural Networks

  Language:TypeScript23511727

• PolarisRisingWar/cs224w-2021-winter-colab

  cs224w（图机器学习）2021冬季课程的colab

  Language:Jupyter Notebook2283238

• jhljx/CTGCN

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

  Language:Python9341028

• MGitHubL/Chinese-Reading-Notes-of-Graph-Learning

  74208

• GraphFramEx/graphframex

  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs

  Language:Python34045

• liruichao1/Graph2Seq

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

  31