sajochiu

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

merge-spmm

Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018

inter-operator-scheduler

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration

LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

leetcode_101

LeetCode 101：力扣刷题指南

LeetCode-Solutions

🏋️ Python / Modern C++ Solutions of All 3313 LeetCode Problems (Weekly Update)

Algorithms

lecture notes for the algorithms class together with most of the programs

100-nlp-papers

100 Must-Read NLP Papers

ABigSurvey

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

awesome-AI-books

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

HAWQ

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

nnfusion

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.

awesome-deep-learning-papers

The most cited deep learning papers

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

becoming-a-compiler-engineer

编译器入门课程的配套教学资料

Stanford-CS-229

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

SJTU-Courses

上海交通大学课程资料分享

MachineLearningLectureNotes

:closed_book: 张志华机器学习导论 MOOC 讲义

Machine-Learning

TUM Machine Learning 2016 WS

TASO

The Tensor Algebra SuperOptimizer for Deep Learning

AI-System-School

🚀 AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

awesome-machine-learning-in-compilers

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

sl

SL(1): Cure your bad habit of mistyping

awesome-tensor-compilers

A list of awesome compiler projects and papers for tensor computation and deep learning.

Machine-Learning-2019-Spring-NCTU

The homework of the course lectured by 洪瑞鴻 and 邱維辰 in 2019 spring in NCTU.

inference

Reference implementations of MLPerf™ inference benchmarks

training

Reference implementations of MLPerf™ training benchmarks

mlfd_hw