1210 Open source projects that are alternatives of or similar to Cyclegan

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

Survival analysis with PyTorch

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

A curated list of awesome awesomeness about artificial intelligence

Python implementation of soft-DTW.

Codes for weekly challenges on Deep Learning by Siraj

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

🧠 A tool that makes AI easier.

Conditional GAN for generating synthetic tabular data.

📄 Unofficial Dropbox Paper desktop app

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

🥕 Evolutionary Neural Networks in JavaScript

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋

🎨 Winning solution for the Painter by Numbers competition on Kaggle.

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Akarin is a powerful (not yet) server software from the 'new dimension'

PHP Class to detect languages from any free text

A must-read paper for speech separation based on neural networks

The simplest implementation toward the idea of Re-cycle GAN

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

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

Repo for the paper "SymPy: symbolic computing in python"

A modern PyTorch implementation of SRGAN

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

The Roadmap to Learn Generative Adversarial Networks (GANs)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Snapshot Ensemble in Keras

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

A toolbox for differentially private data generation

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

Behavior Prediction in Autonomous Driving

阅读过的推荐系统论文的归类总结，持续更新中…

(Machine) Learning to Do More with Less

A curated list of awesome resources and learning materials in the field of X internals

CycleGAN Tensorflow 2

Neural networks training pipeline based on PyTorch

Create Anime Characters with MakeGirlsMoe

Generative Adversarial Networks in PyTorch

A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"

The Simplest DCGAN Implementation

PyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

High performance Spigot fork that aims to fix gameplay and mechanics inconsistencies

PlotSquared - Reinventing the plotworld

An extremely simple generative adversarial network, built with TensorFlow

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

High-quality implementations of standard and SOTA methods on a variety of tasks.

Keras implementation of 3D Generative Adversarial Network.

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Plain python implementations of basic machine learning algorithms