mengdongwei

QAnything

Question and Answer based on Anything.

X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

awesome-data-labeling

A curated list of awesome data labeling tools

ChartLlama-code

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

python-snippets

anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!

LangChain-Chinese-Getting-Started-Guide

LangChain 的中文入门教程

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

DAVAR-Lab-OCR

OCR toolbox from Davar-Lab

vnpy

基于Python的开源量化交易平台开发框架

tushare

TuShare is a utility for crawling historical data of China stocks

cxx

Awesome-CLIP

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

OSFCC

一个收集可用于中文字体排印的开源字体集合。

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Computer-Vision-Leaderboard

Comparison of famous convolutional neural network models

pytorchOCR

基于pytorch的ocr算法库，包括 psenet, pan, dbnet, sast , crnn

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)

optimized-models

DNS-Challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

how-to-optimize-gemm

Contextual-Loss-PyTorch

An implement of contextual loss using PyTorch.

GAN_Review

A Survey and Taxonomy of the Recent GANs Development，computer vision & time series

Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

torch2trt

An easy to use PyTorch to TensorRT converter