7387 Open source projects that are alternatives of or similar to Hidt

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

A stable algorithm for GAN training

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

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

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

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

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

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Composable GAN framework with api and user interface

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

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

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.

A collection of arbitrary text to image papers with code (constantly updating)

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Focal Frequency Loss for Generative Models

Spectral Normalization for Keras Dense and Convolution Layers

Projecting images to latent space with StyleGAN2.

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Deploy and scale serverless machine learning app - in 4 steps.

StarNet

Synthetic Data Generation for tabular, relational and time series data.

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

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

Image-to-image translation with conditional adversarial nets

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

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

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

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

Semantic Image Inpainting

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Image-to-Image Translation in PyTorch

A clean and readable Pytorch implementation of CycleGAN

Privacy-preserving generative deep neural networks support clinical data sharing

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

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

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Solve captcha without manually labeling a training set

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Neural Paiters

On the "steerability" of generative adversarial networks

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Applied Deep Learning (2019 Spring) @ NTU

The implementation of Relativistic average GAN with Keras

DCGAN image generator 🖼️.

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

Invert the color of MNIST images with PyTorch

[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)