hatsu3's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mathiasbynens/dotfiles
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
father-bot/chatgpt_telegram_bot
💬 Telegram bot with ChatGPT, Python-based, using OpenAI's API.
fastai/nbdev
Create delightful software with Jupyter Notebooks
MegEngine/MegEngine
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
NVIDIA-AI-IOT/torch2trt
An easy to use PyTorch to TensorRT converter
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Jittor/jittor
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
huawei-noah/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
IntelLabs/nlp-architect
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
HuaizhengZhang/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.
yuchenlin/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
pytorch/TensorRT
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
merrymercy/awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
htqin/awesome-model-quantization
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 (papers, repositories) that are missed by the repo.
microsoft/EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
zwang4/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
mit-han-lab/proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
fastai/fastcore
Python supercharged for the fastai library
guan-yuan/awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
d2l-ai/d2l-tvm
Dive into Deep Learning Compiler
BRTResearch/AIChip_Paper_List
pytorch/tvm
TVM integration into PyTorch
liuzechun/MetaPruning
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
yehuitang/Pruning
Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Network Pruning” (CVPR 2021).
pku-liang/FlexTensor
Automatic Schedule Exploration and Optimization Framework for Tensor Computations
cs217/cs217.github.io
Course Webpage for CS 217 Hardware Accelerators for Machine Learning, Stanford University
microsoft/MSVBASE
MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.
KnowingNothing/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators