Top 148 generative-model open source projects

Training a MNIST classifier, and use it to compute inception score (ICP)

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

Generative Adversarial Networks (GANs) resources sorted by citations

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Speech Enhancement Generative Adversarial Network in TensorFlow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

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

in progress

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Code for the paper "Jukebox: A Generative Model for Music"

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Collection of generative models in Tensorflow

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

[CVPR2020] Adversarial Latent Autoencoders

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..

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

Face generator from sketches using cGAN (pix2pix) model

Generative Adversarial Networks in PyTorch

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

unsupervised video and image generation

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

Official implementation of Dynamical VAEs

Hierarchical fast and high-fidelity audio generation

TriangleGAN, ACM MM 2019.

PixelVAE with or without regularization

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Variational autoencoder for anomaly detection (in PyTorch).

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

No description or website provided.

Public release of data and code for materials synthesis generation

CSGNet for voxel based input

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Guided Conditional Wasserstein GAN for De Novo Protein Design

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

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

Pytorch implementation of CycleGAN.

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

Official repository for the ShapeFormer Project

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

Variants of Vision Transformer and its downstream tasks

No description or website provided.

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

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

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Generator loss to reduce mode-collapse and to improve the generated samples quality.