6942 Open source projects that are alternatives of or similar to Sdv

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

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

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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

Solve captcha without manually labeling a training set

Image-to-Image Translation in PyTorch

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

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

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Synthetic Data Generation for mixed-type, multivariate time series.

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

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

Projecting images to latent space with StyleGAN2.

Spectral Normalization for Keras Dense and Convolution Layers

Generate Cartoon Images using Generative Adversarial Network

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

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..

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

The implementation of Relativistic average GAN with Keras

Discovering Interpretable GAN Controls [NeurIPS 2020]

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

A repository to keep track of all the code that I end up writing for my blog posts.

StarNet

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

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

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

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

A stable algorithm for GAN training

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Privacy-preserving generative deep neural networks support clinical data sharing

DCGAN image generator 🖼️.

On the "steerability" of generative adversarial networks

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

🤖A list of resources to help anyone getting started with GANs 🤖

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

my own deep learning mastery roadmap

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Showcasing various fun adventures with GANs

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

A sketch extractor for anime/illustration.

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

Little More Advanced TensorFlow Implementations

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

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

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Unofficial implementation of StyleGAN's generator

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

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Applied Deep Learning (2019 Spring) @ NTU

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Invert the color of MNIST images with PyTorch