1828 Open source projects that are alternatives of or similar to Doppelganger

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

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.

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

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

Deep Learning Super Sampling with Deep Convolutional 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

Generate Cartoon Images using Generative Adversarial Network

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

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

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

Image-to-Image Translation in PyTorch

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

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

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

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

T2F: text to face generation using Deep Learning

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

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

Anything can happen in the next half hour (including spectral timing made easy)!

Privacy-preserving generative deep neural networks support clinical data sharing

SpecGAN - generate audio with adversarial training

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

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

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

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

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Awesome Generative Adversarial Networks with tensorflow

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

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

Bringing financial analysis to the tidyverse

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

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

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

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

📈 A small, fast chart for time series, lines, areas, ohlc & bars

Durable time-series database that's API-compatible with Prometheus.

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

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Discovering Interpretable GAN Controls [NeurIPS 2020]

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

An AI for Music Generation

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

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Timeseries database

Solution to Kaggle - Web Traffic Time Series Forecasting

The implementation of Relativistic average GAN with Keras

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

C++ Implementation of PyTorch Tutorials for Everyone

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

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

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

Bringing Old Photo Back to Life (CVPR 2020 oral)

Generative Adversarial Networks in Keras