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efpn-detectron2

few-nerd

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

gfte

A GCN-based table structure recognition method

glm

GLM (General Language Model)

graphdoc

hrnet-facial-landmark-detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

hscode_identification

HS Code(Trade Tariff Code) Identification Project

identifythat_logorecognition

Recognizes logos in tv frames using scikit learn and opencv template matching.

imageretrieval

基于Flask RESTful api的图像特征检索方案，api传入url/base64即可在毫秒内返回数据库匹配结果，用于图像去重

jionlp

中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com

kbqa

基于Neo4j图数据库构建知识图谱，提供知识图谱的增删改查；基于知识图谱和策略构建智能问答引擎

kbqa-for-diagnosis

Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统

kgqa

kgqa_insurance_product

基于开源保险产品数据构建的保险知识图谱及简易问答系统

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

license-plate-recognition

基于svm的车牌识别

lightning-transformers

Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning

llama

Inference code for LLaMA models

llama-adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

llano

Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.

lmflow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Language Model for All.

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

mplug-owl

mPLUG-Owl🦉: Modularization Empowers Large Language Models with Multimodality

ocr

pytorch ocr

omegaconf

Flexible Python configuration system. The last one you will ever need.

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

paper-reading

深度学习经典、新论文逐段精读

paper_preview

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pick-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)