整理我的浏览器收藏夹，太多年了～！放在这里的目的是为了方便整理和查找，针对团队成员的一些学习和培养，有专门整理的一些初步资料方便最基础入门（当然不是说这里整理的是高深的东西）。
TODO: 想要整理完还远的很！
- Artificial Intelligence for Beginners - A Curriculum
- roadmap.sh: Community driven roadmaps, articles and resources for developers
- Made With ML
- algorithm-base
- DevDocs
- Microsoft Learn
- ML-NLP
- PyTorch Tutorials
- 深度学习经典、新论文逐段精读
- In-depth introduction to machine learning in 15 hours of expert videos
- 深度学习入门教程, 优秀文章, Deep Learning Tutorial
- ML_DL_LearningList
- Computational Systems Biology: Deep Learning in the Life Sciences
- Graph-based Deep Learning Literature
- Foundations of data science for machine learning
- PH525x series - Biomedical Data Science
- Modern Statistics with R
- Modern Statistics for Modern Biology
- 《统计学习方法》的代码实现
- Causal Inference for The Brave and True
- Hrbust ACM Book
- numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
- 动手实战人工智能 AI By Doing
- 动手学深度学习
- Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
- Understanding Deep Learning - Simon J.D. Prince
- DeepLearningBook读书笔记
- Awesome ChatGPT Prompts
- Deeplearning with PyTorch
- Programming PyTorch for Deep Learning
- OpenAI CookBook
- The fast.ai course notebooks
- https://huggingface.co/
- https://ollama.com/
- Rocker: https://rocker-project.org/
- DeepBIO is a user-friendly interpretable deep-learning platform for biological sequence functional analysis
- Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability
- candle - Minimalist ML framework for Rust
- luminal - Deep learning at the speed of light
- llamafile - Distribute and run LLMs with a single file
- skorch - A scikit-learn compatible neural network library that wraps PyTorch
- Gorgonia is a library that helps facilitate machine learning in Go
- tinygrad: For something between PyTorch and karpathy/micrograd
- DoubleML provide an implementation of the double / debiased machine learning framework
- torchdrug - A powerful and flexible machine learning platform for drug discovery
- torchexplorer - Interactively inspect module inputs, outputs, parameters, and gradients
- GenAI - Generative Artificial Intelligence Toolbox
- Python Resources for Everybody
- A study guide to learn about Graph Neural Networks (GNNs)
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch
- 深度学习优化入门：Momentum、RMSProp 和 Adam
- 人工智能术语表
- PyTorch implementations of Generative Adversarial Networks
- Algorithms for Competitive Programming
- JupyterLab Unofficial Extensions & Tools
- Great Resources for Learning Generative AI and Large Language Models (LLMs)
- DeepSeek-R1 \ Kimi 1.5 及类强推理模型开发解读
- Deep Dive into LLMs like ChatGPT
- My 4-steps to learn deep learning for genomics
- MLU-EXPLAIN - Visual explanations of core machine learning concepts
- The Most Comprehensive List of Kaggle Solutions and Ideas
- A collection of various deep learning architectures, models, and tips
- A Survey of Large Language Models
- LLM可视化
- CNN Convoluter
- The basic distribution probability Tutorial for Deep Learning Researchers
- Humanity's Last Exam
- 清华大学开源软件镜像站
- 中国科学技术大学开源软件镜像
- 南大镜像
- GNU FTP
- NCBI FTP
- ENSEMBL FTP
- Broad FTP
- HAPMAP FTP