409 Open source projects that are alternatives of or similar to CharacterGAN

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

Tensorflow implementation of paper "unsupervised image to image translation networks"

Designed to take you from zero experience to GANs within a week.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Improving MMD-GAN training with repulsive loss function

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

🐳 GAN implemented as Tensorflow 2.X

This repository contains a new adversarial training method for Generative Conversational Agents

PyTorch study

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

My pytorch implementation for GAN

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Listing my favorite research papers 📝 from different fields as I read them.

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

CycleGAN based neural network architecture to change the gender of a person’s face

Pure tensorflow implementation of progressive growing of GANs

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

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

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

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Generate image from text with Generative Adversarial Network

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Tensorflow Implementation of DiscoGAN

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Two-stage GANs that generate fingerstyle guitarist images from audio.

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

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

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

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

No description or website provided.

Path Planning using Generative Adversarial Network (GAN)

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

3D-aware GANs based on NeRF (arXiv).

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

No description or website provided.

Unofficial pytorch implementation of algorithms for domain adaptation

Repository for MAD-GAN Paper done in ML CAMP Jeju

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Benchmarking synthetic data generation methods.

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

StyleGAN Encoder - converts real images to latent space

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

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

my own deep learning mastery roadmap

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

Tensorflow-based framework to ease training of generative models