509 Open source projects that are alternatives of or similar to Pytorch Adda

My pytorch implementation for GAN

Awesome GAN for Medical Imaging

Invert the color of MNIST images with PyTorch

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

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

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

Two-stage GANs that generate fingerstyle guitarist images from audio.

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

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

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Handwritten Chinese Characters Generation

Adapt Transformer-based language models to new text domains

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

A web porting for NVlabs' StyleGAN.

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

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

The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping

A Pytorch implementation of Stylegan2 with UNet Discriminator

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Domain Adaptation

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

🐳 GAN implemented as Tensorflow 2.X

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Applied Deep Learning (2019 Spring) @ NTU

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

Pure tensorflow implementation of progressive growing of GANs

Privacy-preserving generative deep neural networks support clinical data sharing

Pytorch implementation of BicycleGAN with implementation details

Disentangled Makeup Transfer with Generative Adversarial Network

Tensorflow implementation of paper "unsupervised image to image translation networks"

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

Create Anime Characters with MakeGirlsMoe

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

3D-aware GANs based on NeRF (arXiv).

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

Simple GAN example using tensorflow JS core

Give a portrait face, move the gaze up

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

PyTorch study

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

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Conditional GAN for generating synthetic tabular data.

Tutorial on GANs

Generative Adversarial Networks in PyTorch

TriangleGAN, ACM MM 2019.

Listing my favorite research papers 📝 from different fields as I read them.