SpursLipu's Stars
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Baiyuetribe/paper2gui
Convert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
01-ai/Yi
A series of large language models trained from scratch by developers @01-ai
OpenGVLab/InternVL
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
huawei-noah/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
ModelTC/lightllm
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
carpedm20/ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Efficient-ML/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.
mit-han-lab/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
OpenPPL/ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
mit-han-lab/proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
HuangOwen/Awesome-LLM-Compression
Awesome LLM compression research papers and tools.
CHIANGEL/Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
memoiry/Awesome-model-compression-and-acceleration
D-X-Y/NAS-Bench-201
NAS-Bench-201 API and Instruction
csyhhu/Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
onejune2018/Awesome-LLM-Eval
Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表,主要面向基础大模型评测,旨在探求生成式AI的技术边界.
jackguagua/awesome-nas-papers
Awesome Neural Architecture Search Papers
ModelTC/llmc
[EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".
megvii-research/FQ-ViT
[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
OpenBMB/Eurus
fangwei123456/Spike-Element-Wise-ResNet
Deep Residual Learning in Spiking Neural Networks
Yueeeeeeee/LlamaRec
[PGAI@CIKM 2023] PyTorch Implementation of LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
GATECH-EIC/Early-Bird-Tickets
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
GATECH-EIC/HW-NAS-Bench
[ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
ModelTC/LPCV2021_Winner_Solution
BillAmihom/RAPQ
Pytorch implementation of RAPQ, IJCAI 2022
ScarceStar-XieCY/MatchNet
ScarceStar-XieCY/DeltaDemo-DatasetTools
This is a matched tools for gen DeltaDemo(Form2Fit)'s dataset.