722 Open source projects that are alternatives of or similar to day2night

Pytorch implementation of CycleGAN.

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

CycleGAN Tensorflow 2

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Pytorch implementation of BicycleGAN with implementation details

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

A simple code of CycleGAN which is easy to read is implemented by TensorFlow

PyTorch implementation of CycleGAN

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

A clean and lucid implementation of cycleGAN using PyTorch

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

Data preprocessing scripts and preprocessed data storage for COVID-19 Scenarios project

A Python package for small bodies research

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

ShowStopper is a tool for helping malware researchers explore and test anti-debug techniques or verify debugger plugins or other solutions that clash with standard anti-debug methods.

Awesome-Cross-Domain-Person-Re-identification

Generative Adversarial Networks in TensorFlow 2.0

A collection of tips for scientific research

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

Repository for implementation of generative models with Tensorflow 1.x

👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Prunable nn layers for pytorch.

(CVPR 2020) DUNIT: Detection-Based Unsupervised Image-to-Image Translation

Manifest is an investigative toolkit intended for researchers, journalists, students, and scholars interested in visualizing, analyzing, and documenting supply chains, production lines, and trade networks.

Equilibrium Expectation for ERGM parameter estimation for large directed networks

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

Linguistica 5: Unsupervised Learning of Linguistic Structure

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS

Dual CNN Models for Unsupervised Monocular Depth Estimation

Paper notes in deep learning/machine learning and computer vision

Cartridge encrypt/decrypt

Caffe implementation for "Guided Optical Flow Learning"

A curated list of generative deep learning tools, works, models, etc. for artistic uses

SEViz (Symbolic Execution VisualIZer) is a tool for visualizing symbolic execution-based test generation

SOMns: A Newspeak for Concurrency Research

DeclareDesign: Declare and Diagnose Research Designs

Improve the quality of a denovo assembly by scaffolding and gap filling

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

A hybrid visualization framework for desktops, large immersive displays and the web

The Contech analysis framework provides the means for generating and analyzing task graphs that enable computer architects and programmers to gain a deeper understanding of parallel programs.

Chainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Implementing Clustering Algorithms from scratch in MATLAB and Python

A toolkit for viable zk-SNARKS on Ethereum, Web, Mobile and Desktop

A Testing Framework for LFE (successor to lfeunit)

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

Awesome Graph Self-Supervised Learning

Experiments logging & visualization

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Finds SNP sites from a multi-FASTA alignment file

STriP Net: Semantic Similarity of Scientific Papers (S3P) Network