7180 Open source projects that are alternatives of or similar to Dragan

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Generative Adversarial Networks in Keras

This toolbox is support material for the book on CNN (http://www.convolution.network).

Protein function prediction using a variational autoencoder

Deep Markov Models

🙄 Difficult algorithm, Simple code.

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

An implementation of CycleGan using TensorFlow

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

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Conditional GAN for Anime face generation.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Natural Language Processing Tutorial for Deep Learning Researchers

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Pytorch implementation of pix2pix for various datasets.

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Compute FID scores with PyTorch.

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Visualization of GAN training process

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Unsupervised learning and generative models in python/pytorch.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Code for GAN2Shape (ICLR2021 oral)

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

This repository contains the source code for the paper First Order Motion Model for Image Animation

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

Awesome GAN for Medical Imaging

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

A list of all named GANs!

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

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Focal Frequency Loss for Generative Models

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

StarNet

Anime Generation

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

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

A repository to keep track of all the code that I end up writing for my blog posts.

DCGAN face generator 🧑.

Page to PAGE Layout Analysis Tool

Generative Adversarial Networks and Autoencoders for 3D Shapes

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement