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85 search results found

First Order Model ⭐ 13,958

This repository contains the source code for the paper First Order Motion Model for Image Animation

Edward ⭐ 4,503

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Discogan Pytorch ⭐ 928

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Tooling for GANs in TensorFlow

Tensorflow2 Generative Models ⭐ 833

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

Score_sde ⭐ 782

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Multidiffusion ⭐ 724

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

Official Implementation of Paella https://arxiv.org/abs/2211.07292v2

Score_sde_pytorch ⭐ 679

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Paint With Words Sd ⭐ 506

Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.

A library for developing deep generative models in a more concise, intuitive and extendable way

Blended Latent Diffusion ⭐ 458

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

Generativemodels ⭐ 445

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

Generative Models ⭐ 414

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

Probabilistic_unet ⭐ 400

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Joint Vae ⭐ 384

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Compositional Visual Generation With Composable Diffusion Models Pytorch ⭐ 349

[ECCV 2022] Compositional Generation using Diffusion Models

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

Dna Diffusion ⭐ 297

🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨

Person Image Synthesis via Denoising Diffusion Model (CVPR 2023)

Generative Query Network Pytorch ⭐ 274

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

Generative_models_tutorial_with_demo ⭐ 268

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..

Gt4sd Core ⭐ 264

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

Diffusionfastforward ⭐ 263

course on diffusion generative models in a fast forward mode

Deepworks ⭐ 226

A collection of Deep Learning projects and resources

Tf Vqvae ⭐ 205

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Vae Clustering ⭐ 191

Unsupervised clustering with (Gaussian mixture) VAEs

A stable algorithm for GAN training

Multilingual Generative Pretrained Model

Image Caption Generator ⭐ 136

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Normalizing Flows ⭐ 135

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

Celeste.jl ⭐ 124

Scalable inference for a generative model of astronomical images

Dse210_probability_statistics_python ⭐ 122

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

Transvae ⭐ 108

[NeurIPS'23] Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

Stoned Selfies ⭐ 99

This repository contains code for the paper: Beyond Generative Models: Superfast Traversal, Optimization, Novelty, Exploration and Discovery (STONED) Algorithm for Molecules using SELFIES

Implementation codes of deep generative models with Pixyz

Syncdiffusion ⭐ 97

Official implementation of SyncDiffusion.

Periodic Spatial Generative Adversarial Networks

Coursera Gan Specialization ⭐ 93

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Deep Markov Models

Cs F425_deep Learning ⭐ 89

CS F425 Deep Learning course at BITS Pilani (Goa Campus)

Spectralnormalizationkeras ⭐ 86

Spectral Normalization for Keras Dense and Convolution Layers

Watermarkdm ⭐ 82

Code of the paper: A Recipe for Watermarking Diffusion Models

Molscore ⭐ 67

An automated scoring function to facilitate and standardize the evaluation of goal-directed generative models for de novo molecular design

VariTex: Variational Neural Face Textures, ICCV 2021.

Wasserstein Introspective Neural Networks (CVPR 2018 Oral)

Generative Model ⭐ 46

Repository for implementation of generative models with Tensorflow 1.x

Gatedpixelcnnpytorch ⭐ 46

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Im2latex ⭐ 44

Solution to im2latex request for research of openai

Vae_protein_function ⭐ 44

Protein function prediction using a variational autoencoder

Latent_dirichlet_allocation ⭐ 41

This is the Code for "Generative Models - The Math of Intelligence #8" By Siraj Raval on Youtube

Lidar_generation ⭐ 41

Code for "Deep Generative Models for LiDAR Data"

Ligdream ⭐ 34

Novel molecules from a reference shape!

Diffroll ⭐ 33

PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model

Gans.tensorflow.v2 ⭐ 32

Attacking Speaker Recognition with Deep Generative Models

A deep generative model to predict aircraft actual trajectories using high dimensional weather data

Minified Generative Models ⭐ 24

Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs.

Framedipt ⭐ 24

FrameDiPT: an SE(3) diffusion model for protein structure inpainting

Divide And Bind ⭐ 23

Official implementation of "Divide & Bind Your Attention for Improved Generative Semantic Nursing" (BMVC 2023 Oral)

Ktextaug ⭐ 23

Data Augmentation Toolkit for Korean text.

Neural Voice Cloning ⭐ 23

Neural Voice Cloning with a few voice samples, using the speaker adaptation method. Speaker adaptation is based on fine-tuning a multi-speaker generative model with a few cloning samples.

Galaxy2galaxy ⭐ 22

Library of models, datasets, and utilities to build generative models for astronomical images.

Coarse Graining Auto Encoders ⭐ 21

Official Github for "Molecular generative model via retrosynthetically prepared chemical building block assembly" (Advanced Science)

Multitask_text_and_chemistry_t5 ⭐ 20

Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023

Char Rnn ⭐ 20

Disent And Gen ⭐ 20

Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).

Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)

Unsupervisedattentionmechanism ⭐ 19

Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".

Introduction To Gan ⭐ 19

Introduction to Generative Adversarial Networks

Wasserstein2benchmark ⭐ 19

A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation.

Independent_component_analysis ⭐ 19

From scratch Python implementation of the fast ICA algorithm.

Shoe Design Using Generative Adversarial Networks ⭐ 18

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

Char Vae ⭐ 17

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.

Mol Cycle Gan ⭐ 17

Mol-CycleGAN - a generative model for molecular optimization

Deepdream ⭐ 17

Generative deep learning: DeepDream

Security Research Differentially Private Generative Models ⭐ 17

SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning models

Synthetic Data Genomics ⭐ 17

Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data.

Ganightsky ⭐ 17

🌌The Jupyter Notebook behind ThisNightSkyDoesNotExist - Train a StyleGan2-ADA on a custom image dataset scrapped from Instagram!

Multi Agent Diverse Generative Adversarial Networks ⭐ 17

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

Pytorch Mnist Gan ⭐ 15

Point Cloud Galaxy Diffusion ⭐ 15

Dffusion modeling for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141

Generative_deep_learning ⭐ 15

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

Attend Infer Repeat Pytorch ⭐ 15

S.M.Ali Eslam et.al. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ICML16

Kernelneuraloptimaltransport ⭐ 14

PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)

Pytorch In Theano ⭐ 14

Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).

Pytorch Mnist Vae ⭐ 14

Autoregressive Models ⭐ 14

Tensorflow 2.0 implementation of Deep Autoregressive Models

Askcos_synthesizability ⭐ 14

Image_colorization_gan_tf2.0 ⭐ 14

A TensorFlow2.0 implementation of https://arxiv.org/abs/1803.05400

Generative Models ⭐ 14

Repository of Various Test & Implementation of Generative Models

Calibrationpaper ⭐ 13

Repository of NeurIPS 2019 paper "Calibration tests in multi-class classification: A unifying framework"

Music Modeling Kit

Dlmodels ⭐ 11

Personal experiments and implementation examples of deep learning papers.

Gpt Mini ⭐ 11

Yet another minimalistic Tensorflow (re-)re-implementation of Karpathy's Pytorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer).

Neural Maxwell ⭐ 11

A generative model for computing electromagnetic field solutions

Text To Image ⭐ 10

Generating images from text using AttnGAN. (Inference only)

Vapar Synth ⭐ 10

Code for our paper "VaPar Synth - A Variational Parametric Model for Audio Synthesis"

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