6843 Open source projects that are alternatives of or similar to Calogan

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Recipes to build ALICE software

LUMIN - a deep learning and data science ecosystem for high-energy physics.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Auxiliary Classifier Generative Adversarial Networks in Keras

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

Unofficial implementation of StyleGAN's generator

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

GAN in Tensorflow to be run via Linux command line

Invert the color of MNIST images with PyTorch

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Keras implementation of 3D Generative Adversarial Network.

Deep learning codes and projects using Python

[CVPR2020] Adversarial Latent Autoencoders

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Tutorial on GANs

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Code for deep generative prior (ECCV2020 oral)

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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

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

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Little More Advanced TensorFlow Implementations

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

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

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

T2F: text to face generation using Deep Learning

Generative Adversarial Networks in Keras

Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome Generative Adversarial Networks with tensorflow

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

A Python package for flavour physics phenomenology in the Standard model and beyond

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

An AI for Music Generation

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

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

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

Simulations of gravitational interaction of the random n-body systems

Composable GAN framework with api and user interface

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

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

ALICE Analysis Repository

An implementation of CycleGan using TensorFlow

Neural Paiters

Image-to-image translation with conditional adversarial nets

Compute FID scores with PyTorch.

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Visualization of GAN training process

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