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A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
Question and Answer based on Anything.
Effortless data labeling with AI support from Segment Anything and other awesome models.
A curated list of awesome data labeling tools
Tracking and collecting papers/projects/others related to Segment Anything.
✨✨Latest Advances on Multimodal Large Language Models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
🦦 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.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM SAM2), MobileSAM!!
LangChain 的中文入门教程
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
TuShare is a utility for crawling historical data of China stocks
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Comparison of famous convolutional neural network models
基于pytorch的ocr算法库，包括 psenet, pan, dbnet, sast , crnn
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…
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
An implement of contextual loss using PyTorch.
A Survey and Taxonomy of the Recent GANs Development，computer vision & time series
Collection of recent methods on (deep) neural network compression and acceleration.