533 Open source projects that are alternatives of or similar to Pytorch Mnist Celeba Cgan Cdcgan

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

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

Collection of generative models in Pytorch version.

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Invert the color of MNIST images with PyTorch

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

A large-scale face dataset for face parsing, recognition, generation and editing.

Tensorflow implementation of different GANs and their comparisions

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

The implementation of Relativistic average GAN with Keras

Experiments for understanding disentanglement in VAE latent representations

A curated list of dedicated resources and applications

🎎 InfoGAN: Interpretable Representation Learning

Simple Implementation of many GAN models with PyTorch.

[CVPR2020] Adversarial Latent Autoencoders

Generative Adversarial Networks in TensorFlow 2.0

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

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

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

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"

The simplest implementation toward the idea of Re-cycle GAN

Domain adaptation networks for digit recognitioning

Generative Adversarial Network with Weight Normalization + ResNet

Six snippets of code that made deep learning what it is today.

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

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

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

TextBox is an open-source library for building text generation system.

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Generate Cartoon Images using Generative Adversarial Network

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.

Build deep learning applications in a new and easy way.

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

Colorization of grayscale images using CycleGAN in TensorFlow.

DCGAN Implementation using PyTorch in both C++ and Python

A toolbox for differentially private data generation

gail, infogail, hierarchical gail implementations

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Generative Adversarial Networks in PyTorch

Lagrangian VAE

Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow

The Simplest DCGAN Implementation

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..

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

PyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.

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

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

An extremely simple generative adversarial network, built with TensorFlow

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

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

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Keras implementation of 3D Generative Adversarial Network.

TriangleGAN, ACM MM 2019.

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

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