1070 Open source projects that are alternatives of or similar to Awesome Medical Imaging

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

RadIO is a library for data science research of computed tomography imaging

Deep Learning tools for brain medical images

Deep Learning Toolkit for Medical Image Analysis

Open solution to the Data Science Bowl 2018

Tools for MRI mouse brain morphometry

Multi-platform, free open source software for visualization and image computing.

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Deep Learning Computer Vision Algorithms for Real-World Use

Multi-platform, free open source software for visualization and image computing.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Robust 3D Neuron Tracing / General 3D tree structure extraction in Python for 3D images powered by the Rivulet2 algorithm. Pain-free Install & use in 5 mins.

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Segment Source Distribution

Image segmentation - general superpixel segmentation & center detection & region growing

Segmentation models with pretrained backbones. PyTorch.

Slicer extensions index

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

🦄 State-of-the-Art Conversational AI with Transfer Learning

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

All the algorithms in the book "Digital Image Processing and Machine Vision" C++ code; test under VS2013, use MFC as the interactive interface to realize the operation of the input image, covering all the basic image processing algorithms, it is worth learning!

Speech Recognition model based off of FAIR research paper built using Pytorch.

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Starviewer, a cross-platform open source medical imaging software

🎥 Python and OpenCV-based scene cut/transition detection program & library.

Phimp.me - Photo Image Editor and Sharing App. Phimp.me is a Photo App for iOS that aims to replace proprietary photo applications. It offers features such as taking photos, adding filters, editing images and uploading them to social networks.

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.

Copy-move forgery detection on digital image using Python

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

📷 Lens distortion correction for Python, a wrapper for lensfun

PHP API client that handles uploads and further operations with files by wrapping Uploadcare Upload and REST APIs.

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

A collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

Books, papers and links to latest research in ML/AI

Node-based image processing with GEGL and Flowhub

A Python package for delineating nested surface depressions from digital elevation data.

数据algorithm & 分析算法

A lightweight and easy to use tool for deflickering timelapse image sequences.

Deep Neural Network Sandbox for JavaScript.

TensorFlow-based neural network library

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

a collection of small and standalone utilities for image processing, written in C

A simple JavaScript neural network framework.

Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019)

Minimal and clean examples of machine learning algorithms implementations

Computer Vision Library for D Programming Language

PixLab Resources & Sample Set

C++ implementation pool for computer vision R&D projects.

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

brief introduction to Python for neural networks

A PHP class that makes working with images as simple as possible.

An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"

An implementation of DiscoGAN in tensorflow

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

HDR, PFM, DDS, KTX, EXR, PNG, JPG, BMP image viewer and manipulator