Haijunlv

magic-doc

LabelLLM

The Open-Source Data Annotation Platform

labelU

Data annotation toolbox supports image, audio and video data.

WanJuan1.0

万卷1.0多模态语料

PDF-Extract-Kit

A Comprehensive Toolkit for High-Quality PDF Content Extraction

MinerU

A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。

InternLM-WQX

Awesome-Chinese-LLM

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

doremi

Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

BiLLa

BiLLa: A Bilingual LLaMA with Enhanced Reasoning Ability

pandallm

Panda项目是于2023年5月启动的开源海外中文大语言模型项目，致力于大模型时代探索整个技术栈，旨在推动中文自然语言处理领域的创新和合作。

Alpaca-CoT

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

paper-reading

深度学习经典、新论文逐段精读

AISystem

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

how-to-optim-algorithm-in-cuda

how to optimize some algorithm in cuda.

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

LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

RFNext

RF-Next: Efficient Receptive Field Search for CNN(TPAMI2022, CVPR2021) Try it, you wouldn't regret it!

coco-minitrain

a subset of coco dataset for faster experimentation

CVPR_2022_NAS_Competition_Track1_1st

mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

lightweight-neural-architecture-search

This is a collection of our zero-cost NAS and efficient vision applications.

bagua

Bagua Speeds up PyTorch

tfeat

TFeat descriptor models for BMVC 2016 paper "Learning local feature descriptors with triplets and shallow convolutional neural networks"

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

AWS-OHL-AutoAug

An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise Weight Sharing) by Sensetime Research.

neural_network_papers

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

model_search