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ardupilot

ArduPlane, ArduCopter, ArduRover, ArduSub source

AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

pymavlink

python MAVLink interface and utilities

c_library_v1

MAVLink protocol C/C++ implementation auto-generated from latest protocol specs.

ChatGPT

Reverse engineered ChatGPT API

stable-diffusion

A latent text-to-image diffusion model

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

boxmot

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Object-Detection-and-Tracking

Object Detection and Multi-Object Tracking

ATViT

Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)

Q-Net

Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation

pywick

High-level batteries-included neural network training library for Pytorch

CvT

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

aanet

[CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching

Cream

This is a collection of our NAS and Vision Transformer work.

PVT

Official implementation of PVT series

Polyp-PVT

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers, AIR 2023.

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

ml-cvnets

CVNets: A library for training computer vision networks

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

PraNet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

CoTr

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

EANet

External Attention Network

triplet-attention

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

DeepLearningInMedicalImagingAndMedicalImageAnalysis

Deep-Learning-for-Medical-Applications

BreastTumorDetection