Stars
An annotated implementation of the Transformer paper.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Master programming by recreating your favorite technologies from scratch.
这是一个简单的技术科普教程项目,主要聚焦于解释一些有趣的,前沿的技术概念和原理。每篇文章都力求在 5 分钟内阅读完成。
《动手学大模型Dive into LLMs》系列编程实践教程
python sdk for dashscope [model studio](https://www.alibabacloud.com/en/product/modelstudio?_p_lc=1)
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Repo for NAACL 2025 Paper "Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization"
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
入门资料整理:1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作,包括LLM, Agent, benchmark(evaluation), etc.
CUSP : A C++ Templated Sparse Matrix Library
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
c/c++ build a simple b+tree RDMS(利用c/c++ 开发基于B+树的小型关系型数据库 )
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
List of Molecular and Material design using Generative AI and Deep Learning