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A reading list for deep graph learning acceleration.
An Industrial Graph Neural Network Framework
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A curated list of graph data augmentation papers.
《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程
中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)
Papers about out-of-distribution generalization on graphs.
Papers about explainability of GNNs
Sample codes for my CUDA programming book
🎉CUDA/C++ 笔记 / 大模型手撕CUDA / 技术博客，更新随缘: flash_attn、sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.
This is a Chinese translation of the CUDA programming guide
Strategies for Pre-training Graph Neural Networks
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
MLNLP: Notes for MIT-Linear-Algebra
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
A curated list for Efficient Large Language Models
An object-oriented algebraic modeling language in Python for structured optimization problems.
A Python-embedded modeling language for convex optimization problems.
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
