PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Tool for robust segmentation of 104 important anatomical structures in CT images

MONAI Model Zoo that hosts models in the MONAI Bundle format.

Learn OpenCV : C++ and Python Examples

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

YOLOv7 to detect bone fractures on X-ray images

In this project, we will be coding a vehicle counting and detection system. It will be enough to work for both the images or the video, for the same, we will be using OpenCV for doing all the image…

OpenMMLab Computer Vision Foundation

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

MOST (Matlab for Offshore wind turbine Simulation Tool) is an innovative non-linear, time domain numerical model for the simulation of offshore floating wind turbines, developed in Matlab-Simulink …

This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.

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

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

This extension aims to provide a GUI for a deep-learning automated teeth segmentation tool that we developed at the University of North Carolina in Chapel Hill.

3D Slicer module for pedicle screw insertion training

This is my molecular python script for blender. A bit similar to Lagoa Multiphysic in Softimage.

A collection of jupyter notebooks for quantum mechanics tutorials.

医学影像数据集列表 『An Index for Medical Imaging Datasets』

Accelerated deep learning R&D

An accurate GUI element detection approach based on old-fashioned CV algorithms [Upgraded on 5/July/2021]

Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Collection of utilities that are not polished implementations but can be useful to users

WebGL skybox/raytracer for relativistic phenomena. Currently black hole and Alcubierre warp drive bubble.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch