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

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

Awesome Generative Adversarial Networks with tensorflow

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

Compute FID scores with PyTorch.

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

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

Showcasing various fun adventures with GANs

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Generate text boxes from input words with a GAN.

Invert the color of MNIST images with PyTorch

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

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Synthetic structured data generators

Create Anime Characters with MakeGirlsMoe

SpecGAN - generate audio with adversarial training

The Simplest DCGAN Implementation

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

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Interactive Image Generation via Generative Adversarial Networks

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

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

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

Timeseries database

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

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

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

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

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

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.

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

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

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

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

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

An AI for Music Generation

Solution to Kaggle - Web Traffic Time Series Forecasting

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

The implementation of Relativistic average GAN with Keras

C++ Implementation of PyTorch Tutorials for Everyone

Bringing Old Photo Back to Life (CVPR 2020 oral)

Generative Adversarial Networks in Keras

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

Composable GAN framework with api and user interface

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch