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160 search results found

First Order Model ⭐ 13,958

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

Denoising Diffusion Pytorch ⭐ 6,259

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Edward ⭐ 4,503

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

Courses ⭐ 4,018

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

[CVPR2020] Adversarial Latent Autoencoders

Zhusuan ⭐ 2,139

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

Synthetic data generation for tabular data

Awesome Semi Supervised Learning ⭐ 1,573

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

Torchgan ⭐ 1,218

Research Framework for easy and efficient training of GANs based on Pytorch

Continual Learning ⭐ 1,190

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Generalization Causality ⭐ 993

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

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

Awesome Diffusion Models In Medical Imaging ⭐ 923

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Adain Style ⭐ 902

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Delving Deep Into Gans ⭐ 817

Generative Adversarial Networks (GANs) resources sorted by citations

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR23).

Pytorch Vqvae ⭐ 679

Vector Quantized VAEs - PyTorch Implementation

Texturize ⭐ 606

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

Speech Enhancement Generative Adversarial Network in TensorFlow

RNN-based generative models for speech.

Sentence Vae ⭐ 569

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

Simulated Unsupervised Tensorflow ⭐ 548

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

Miditok ⭐ 522

MIDI / symbolic music tokenizers for Deep Learning models 🎶

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]

Awesome Vaes ⭐ 448

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

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

Dl_topics ⭐ 410

List of DL topics and resources essential for cracking interviews

Rewriting ⭐ 407

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

Papers In 100 Lines Of Code ⭐ 395

Implementation of papers in 100 lines of code.

Deep Generative Models For Natural Language Processing ⭐ 330

DGMs for NLP. A roadmap.

Ai4artists ⭐ 321

A list of AI Art courses, tools, libraries, people, and places.

Dna Diffusion ⭐ 297

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

Normalizing flows in PyTorch

Gt4sd Core ⭐ 264

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

Neuraldialog Cvae ⭐ 261

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

Diffusion Classifier ⭐ 255

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

Benchmarking synthetic data generation methods.

Molecule Generation ⭐ 229

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

Deepworks ⭐ 226

A collection of Deep Learning projects and resources

Single cell perturbation prediction

Openml Guide ⭐ 215

An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.

Deep generative models of 3D grids for structure-based drug discovery

Voxel Flow ⭐ 193

Video Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)

Sparse Evolutionary Artificial Neural Networks ⭐ 187

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Machinelearning Ai ⭐ 184

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

A stable algorithm for GAN training

Joligen ⭐ 180

Generative AI Image Toolset with GANs and Diffusion for Real-World Applications

Awesome Mim ⭐ 178

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Vincent Ai Artist ⭐ 173

Style transfer using deep convolutional neural nets

Fewshot Font Generation ⭐ 170

The unified repository for few-shot font generation methods. This repository includes FUNIT (ICCV'19), DM-Font (ECCV'20), LF-Font (AAAI'21) and MX-Font (ICCV'21).

Code for reproducing Flow ++ experiments

Gesturegan ⭐ 164

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Defensegan ⭐ 164

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Msg Net ⭐ 157

Multi-style Generative Network for Real-time Transfer

Artbench ⭐ 155

Benchmarking Generative Models with Artworks

Interdiff ⭐ 154

[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"

Vae_vampprior ⭐ 151

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Latent Pose Reenactment ⭐ 145

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Official implementation of Dynamical VAEs

Official PyTorch implementation of LF-Font (Few-shot Font Generation with Localized Style Representations and Factorization) AAAI 2021

Normalizing Flows ⭐ 135

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

Thechosenone ⭐ 134

Unofficial implementation of the paper "The Chosen One: Consistent Characters in Text-to-Image Diffusion Models"

Semantic_image_inpainting ⭐ 132

Semantic Image Inpainting

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

Conditional Gan ⭐ 130

Anime Generation

Gpt Paper Title Generator ⭐ 128

Generating paper titles (and more!) with GPT trained on data scraped from arXiv.

Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts) ICCV 2021

Generative Evaluation Prdc ⭐ 121

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Synthesize3dviadepthorsil ⭐ 121

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

2019 Winter Hgu Machine Learing Camp ⭐ 117

2019년 겨울 한동머신러닝캠프 강의 자료 및 강의 동영상 (강사: 한동대 전산전자공학부 김인중 교수)

[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Awesome Forgetting In Deep Learning ⭐ 104

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

Auxiliary Deep Generative Models ⭐ 100

Deep generative models for semi-supervised learning.

Implementation codes of deep generative models with Pixyz

Coursera Gan Specialization ⭐ 93

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

Generative Models ⭐ 92

Comparison of Generative Models in Tensorflow

Deep Markov Models

Cs F425_deep Learning ⭐ 89

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

medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

Spectralnormalizationkeras ⭐ 86

Spectral Normalization for Keras Dense and Convolution Layers

Awesome Molecular Docking ⭐ 85

We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.

Minimal_glo ⭐ 84

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

Rnn Handwriting Generation ⭐ 83

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

Awesome Vision Transformer Collection ⭐ 81

Variants of Vision Transformer and its downstream tasks

[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"

Generative_adversarial_perturbations ⭐ 78

Generative Adversarial Perturbations (CVPR 2018)

Timbre_painting ⭐ 77

Hierarchical fast and high-fidelity audio generation

Diffusion Explainer ⭐ 77

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

Awesome Gesture_generation ⭐ 74

Awesome Gesture Generation

Generating Devanagari Using Draw ⭐ 74

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.

[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.

Singleshapegen ⭐ 70

code for paper "Learning to Generate 3D Shapes from a Single Example", SIGGRAPH Asia 2022

Guided Diffusion Keras ⭐ 70

Text to Image Diffusion Models in Keras

RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.

Ddpms Pytorch ⭐ 69

Implementation of various DDPM papers to understand how they work

VariTex: Variational Neural Face Textures, ICCV 2021.

Ddpm Proteins ⭐ 64

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

Belfusion ⭐ 63

[ICCV2023] Official PyTorch Implementation of "BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction". ICCV 2023

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