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本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Reference implmentation of Diffusion models on SO(3)
Trainable PyTorch framework for developing protein, RNA and complex models.
A trainable PyTorch reproduction of AlphaFold 3.
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
List of computational protein design research labs
A curated list of point cloud registration.
Chai-1, SOTA model for biomolecular structure prediction
Geometry Deep Learning for Drug Discovery and Life Science
My personal note about local and global descriptor
TorchCFM: a Conditional Flow Matching library
仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
A collection of algorithms and data structures
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
Learning Structure-based Pocket Representations for Protein-Ligand Interaction Prediction