450 Open source projects that are alternatives of or similar to private-data-generation

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Assessing Generative Models via Precision and Recall (official repository)

No description or website provided.

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Tools and service for differentially private processing of tabular and relational data

Ladder Variational Autoencoders (LVAE) in PyTorch

Applied Deep Learning (2019 Spring) @ NTU

A Survey on Text-to-Image Generation/Synthesis.

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

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

Generative Adversarial Network with Weight Normalization + ResNet

GAN in Tensorflow to be run via Linux command line

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022)

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

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

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

Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

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

Pytorch implementation of BicycleGAN with implementation details

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Simple GAN example using tensorflow JS core

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

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…

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

TriangleGAN, ACM MM 2019.

Invert the color of MNIST images with PyTorch

Unofficial implementation of StyleGAN's generator

Generate Cartoon Images using Generative Adversarial Network

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Keras implementation of 3D Generative Adversarial Network.

Showcasing various fun adventures with GANs

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.

C++ based implementation of StatNLP framework

things I help(ed) to build

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

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

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

Colorization of grayscale images using CycleGAN in TensorFlow.

The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping

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

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

gail, infogail, hierarchical gail implementations

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

Generate text boxes from input words with a GAN.

Tensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"

Lagrangian VAE

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

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

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

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

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

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

Generative Adversarial Networks in PyTorch

An extremely simple generative adversarial network, built with TensorFlow