2178 Open source projects that are alternatives of or similar to Awesome Gan For Medical Imaging

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

A modern PyTorch implementation of SRGAN

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

The implementation of Relativistic average GAN with Keras

Papers and Datasets about Point Cloud.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

SpecGAN - generate audio with adversarial training

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Slicer extensions index

Resurces for MRI images processing and deep learning in 3D

Spectral Normalization for Keras Dense and Convolution Layers

由淺入深的深度學習資源 Collection of deep learning materials for everyone

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

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

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

A lean C++ library for working with point cloud data

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

Trainable models and NN optimization tools

Holistically-Nested Edge Detection

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

《深度学习与计算机视觉》配套代码

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Segment Source Distribution

DeeplabV2 segmentation in Keras.

Generative Adversarial Networks in Keras

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

An implementation of CycleGan using TensorFlow

Official repository of JSI-GAN (Accepted at AAAI 2020).

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

learn code with tensorflow

cGAN-based Multi Organ Nuclei Segmentation

The U-Net Segmentation plugin for Fiji (ImageJ)

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Image-to-image translation with conditional adversarial nets

Compute FID scores with PyTorch.

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Composable GAN framework with api and user interface

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

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

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

MOTSFusion: Track to Reconstruct and Reconstruct to Track

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Awesome Resources for Advanced Computer Vision Topics