759 Open source projects that are alternatives of or similar to Acgan Pytorch

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

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

A modern PyTorch implementation of SRGAN

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

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

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

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

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The implementation of Relativistic average GAN with Keras

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An extremely simple generative adversarial network, built with TensorFlow

Create Anime Characters with MakeGirlsMoe

[CVPR2020] Adversarial Latent Autoencoders

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

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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

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

T2F: text to face generation using Deep Learning

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

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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

Generative Adversarial Networks in Keras

Keras implementation of 3D Generative Adversarial Network.

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Generate text boxes from input words with a GAN.

The Simplest DCGAN Implementation

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

Code for deep generative prior (ECCV2020 oral)

Invert the color of MNIST images with PyTorch

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

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

Interactive Image Generation via Generative Adversarial Networks

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

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

Solve captcha without manually labeling a training set

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

Applied Deep Learning (2019 Spring) @ NTU

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

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

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

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Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome Generative Adversarial Networks with tensorflow

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

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

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

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

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

An AI for Music Generation

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InstaGAN: Instance-aware Image Translation (ICLR 2019)

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

Generate Cartoon Images using Generative Adversarial Network

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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.