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

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

Learning about Haskell with Variational Autoencoders

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".

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

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

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Simple neural network implementation in Rust

Generate Cartoon Images using Generative Adversarial Network

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Adversarial Discriminative Domain Adaptation in Chainer

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.

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Build deep learning applications in a new and easy way.

Open Set Recognition

Colorization of grayscale images using CycleGAN in TensorFlow.

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

DCGAN Implementation using PyTorch in both C++ and Python

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

Generative Adversarial Networks in PyTorch

Simple code implement the paper of CartoonGAN(CVPR2018)

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

No description or website provided.

The Simplest DCGAN Implementation

A 1D toy example of optimizing a generative model using the WGAN-GP model.

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

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

An extremely simple generative adversarial network, built with TensorFlow

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

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

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

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

Pytorch implementation of CycleGAN.

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

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

A minimal implementation of Wasserstein GAN

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "

Using various CNN techniques on the MNIST dataset

cRNN-GAN to generate music by training on instrumental music (midi)

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Tutorial on GANs

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Generate text boxes from input words with a GAN.

Unofficial implementation of StyleGAN's generator

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

A modified extractor for the CROHME handwritten math symbols dataset.

mnist with Tensorflow

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

GAN in Tensorflow to be run via Linux command line

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