572 Open source projects that are alternatives of or similar to Colorizing With Gans

Repository has been moved: https://github.com/adobe/antialiased-cnns

Collection of generative models in Pytorch version.

High-quality Neural Networks for Computer Vision 😎

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Aulas da Escola de Inteligência Artificial de São Paulo

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

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

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

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Automatic line art colorization using various types of hint or without hint

Pytorch deep learning face frontalization model

Convolutional (Patch) Networks for Semantic Segmentation

Awesome GAN for Medical Imaging

A DCGAN to generate anime faces using custom mined dataset

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Image Deblurring using Generative Adversarial Networks

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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

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

Auxiliary Classifier Generative Adversarial Networks in Keras

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

Spatial Pyramid Network for Optical Flow

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.

ICface: Interpretable and Controllable Face Reenactment Using GANs

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Learning kernels to maximize the power of MMD tests

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

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

Network-to-Network Translation with Conditional Invertible Neural Networks

OpenMMLab Image and Video Editing Toolbox

Masking GAN - Image attribute mask generation

Object classification with CIFAR-10 using transfer learning

A playable implementation of Fully Convolutional Networks with Keras.

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Deep learning codes and projects using Python

Naszilla is a Python library for neural architecture search (NAS)

Unsupervised anomaly detection with generative model, keras implementation

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

Generative Adversarial Networks and Autoencoders for 3D Shapes

in progress

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

Tensorflow implementation of generative adversarial imitation learning

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

A list of all named GANs!

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

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

Handwritten Chinese Characters Generation

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Software that can autocomplete sketches as the user starts drawing.

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

Pytorch implementation of MirrorGAN

A PyTorch implementation for StyleGAN with full features.

Code for paper "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis"

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Text to image synthesis using thought vectors