WangHuiNEU
His dream is to become an independent researcher, and he is now working in the field of AI for life science. Please feel free to contact him.
BAAI (Beijing Academy of Artificial Intelligence)Beijing
Pinned Repositories
Debug
模型训练时候出现的Bug，以及解决方法
DeepLearning_Framework
深度学习框架详解
Knowledge
模型训练的各种有意思的知识分享
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
llm
The Roadmap for LLMs
Paper_Code
读懂论文源码
PyTorch-
PyTorch读懂源码【王辉NEU】
structure-prediction
Transformer_Knowlegde
从底层机理了解Transformer
WangHuiNEU.github.io
WangHuiNEU's Repositories
WangHuiNEU/llm
The Roadmap for LLMs
WangHuiNEU/Transformer_Knowlegde
从底层机理了解Transformer
WangHuiNEU/Paper_Code
读懂论文源码
WangHuiNEU/structure-prediction
WangHuiNEU/Debug
模型训练时候出现的Bug，以及解决方法
WangHuiNEU/DeepLearning_Framework
深度学习框架详解
WangHuiNEU/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
WangHuiNEU/WangHuiNEU.github.io
WangHuiNEU/3DFI
The 3DFI pipeline predicts the 3D structure of proteins and searches for structural homology in the 3D space.
WangHuiNEU/algorithm
算法刷题笔记
WangHuiNEU/Algorithm_You_Need
刷算法题（全部总结）
WangHuiNEU/AlphaBio
WangHuiNEU/awesome-big-models
A collection of AWESOME things about BIG AI models.
WangHuiNEU/Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
WangHuiNEU/awsome-leetcode
Let's leetcoding.
WangHuiNEU/bio-transformers
bio-transformers is a wrapper on top of the ESM/Protbert model, trained on millions on proteins and used to predict embeddings.
WangHuiNEU/comments
WangHuiNEU/CTG-latentAEs
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
WangHuiNEU/DeepLearningKnowledge
深度学习相关算法总结
WangHuiNEU/drug-design-deep-learning
WangHuiNEU/FunGeneTyper
WangHuiNEU/MASSA
WangHuiNEU/mesh-transformer-jax
Model parallel transformers in JAX and Haiku
WangHuiNEU/NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
WangHuiNEU/OpenComplex
Trainable PyTorch framework for developing protein, RNA and complex models.
WangHuiNEU/openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
WangHuiNEU/PaddleHelix
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
WangHuiNEU/progen
Official release of the ProGen models
WangHuiNEU/StarrySky
精选了千余项目，包括机器学习、深度学习、NLP、GNN、推荐系统、生物医药、机器视觉等内容。
WangHuiNEU/Tranception
Official repository for Tranception