Official Implementation of Rectified Flow (ICLR2023 Spotlight)

On the automatic quality assessment of annotated sample data for object extraction from remote sensing imagery

[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

The official code for CVPR2023 paper "TopDiG: Class-agnostic Topological Directional Graph Extraction from Remote Sensing Images"

Segment Anything in High Quality [NeurIPS 2023]

Road detections from Microsoft Maps aerial imagery

Worldwide building footprints derived from satellite imagery

List of datasets, codes, and contests related to remote sensing change detection

A PyTorch Library for Multi-Task Learning

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

Paper reading notes on Deep Learning and Machine Learning

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Meta-Transformer for Unified Multimodal Learning

YOLOv7 Instance Segmentation using OpenCV and PyTorch

Simple Implementation of Pix2Seq model for object detection in PyTorch

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

A Survey of AI startups

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.

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.