The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A High-Quality Real Time Upscaler for Anime Video

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

Natural Language Processing Tutorial for Deep Learning Researchers

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Code release for NeRF (Neural Radiance Fields)

Best Practices, code samples, and documentation for Computer Vision.

Build your neural network easy and fast, 莫烦Python中文教学

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

COCO API - Dataset @ http://cocodataset.org/

An annotated implementation of the Transformer paper.

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

Notes about courses Dive into Deep Learning by Mu Li

A list of NLP(Natural Language Processing) tutorials

Multi Task Vision and Language

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".