902 Open source projects that are alternatives of or similar to Ganspapercollection

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Generative Adversarial Networks in Keras

AETROS CLI + SDK. Command line application to manage/monitor machine learning training in AETROS Trainer

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PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Chainer implementation of recent GAN variants

机器学习相关教程

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OSS Implementation of DICOMweb standard

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Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

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

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The Medical Imaging Interaction Toolkit.

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GANs for time series generation in pytorch

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Cookbook examples for the Insight Toolkit documented with Sphinx

Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]

Disentangled Makeup Transfer with Generative Adversarial Network

Tensorflow implementation of CycleGAN

Slicer extensions index

Reimplementation of DRAW

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

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Segment Source Distribution

Faster neural doodle

videos, lectures, blogs for Deep Learning

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

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

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

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

This repository contains a new generative model of chatbot based on seq2seq modeling.

HyperPose: A Collection of Real-time Human Pose Estimation

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Deep Reinforcement Learning (DRL) agents applied to medical images

Weasis is a DICOM viewer available as a desktop application or as a web-based application.

Attacking Speaker Recognition with Deep Generative Models

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

Re-implement CycleGAN in Tensorlayer

tracking medical datasets, with a focus on medical imaging

Website for NA-MIC Project Weeks

Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

Using Machine Learning to predict the type of exercise from movement data

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Code for "A-NICE-MC: Adversarial Training for MCMC"

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

A large-scale face dataset for face parsing, recognition, generation and editing.

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.