yehangyang

Artificial-Intelligence-in-Compiler-Optimization

A curated list of research papers, datasets, and tools for applying machine learning/Deep learning techniques to compilers and program optimization.

ColossalAI

Making large AI models cheaper, faster and more accessible

Real-Time-Rendering-3rd-CN-Summary-Ebook

:blue_book: 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》，也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣，或者《Real-Time Rendering 4th》的前置阅读材料。

OpenLane-V2

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

gpt4free

The official gpt4free repository | various collection of powerful language models

xorbits

Scalable Python DS & ML, in an API compatible & lightning fast way.

BEVDet

Official code base of the BEVDet series .

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

deap

Distributed Evolutionary Algorithms in Python

UniAD

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

TASO

The Tensor Algebra SuperOptimizer for Deep Learning

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

BladeDISC

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

pytorchfi

A runtime fault injection tool for PyTorch :fire:

Table_Based_Quantization

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

CV-CUDA

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

lightseq

LightSeq: A High Performance Library for Sequence Processing and Generation

AITemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

marktext

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

FasterTransformer

Transformer related optimization, including BERT, GPT

detr3d

Quantization

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Paddle-Lite

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）