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90 search results found

Awesome Diffusion Models ⭐ 10,003

A collection of resources and papers on Diffusion Models

Generative Models ⭐ 6,010

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

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)

Stylegan2 Pytorch ⭐ 3,147

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

[CVPR2020] Adversarial Latent Autoencoders

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

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

Awesome Diffusion Models In Medical Imaging ⭐ 923

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

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Curated List Of Awesome 3d Morphable Model Software And Data ⭐ 664

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.

Mimicry ⭐ 556

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Miditok ⭐ 522

MIDI / symbolic music tokenizers for Deep Learning models 🎶

Copulas ⭐ 454

A library to model multivariate data using copulas.

Generative Models ⭐ 414

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

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.

Dreamgpt ⭐ 293

Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations.

Synthcity ⭐ 292

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

Renderdiffusion ⭐ 273

Gt4sd Core ⭐ 264

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

Diffusion Classifier ⭐ 255

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

Awesome Segment Anything Extensions ⭐ 255

Segment-anything related awesome extensions/projects/repos.

Stacked Generative Adversarial Networks

Diffsbdd ⭐ 227

A Euclidean diffusion model for structure-based drug design.

Deepworks ⭐ 226

A collection of Deep Learning projects and resources

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).

Relaydiffusion ⭐ 180

The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]

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).

Grabnet ⭐ 150

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

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

Vae Seq ⭐ 137

Variational Auto-Encoders in a Sequential Setting.

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

Gpt Paper Title Generator ⭐ 128

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

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation

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

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Generative Evaluation Prdc ⭐ 121

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

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Awesome Forgetting In Deep Learning ⭐ 104

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

Unsupervised learning and generative models in python/pytorch.

Periodic Spatial Generative Adversarial Networks

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

Awesome Molecular Docking ⭐ 81

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

Deepsmiles ⭐ 81

DeepSMILES - A variant of SMILES for use in machine-learning

Diffusion Explainer ⭐ 77

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

Neural Manifold Ordinary Differential Equations ⭐ 74

[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)

Awesome Gesture_generation ⭐ 74

Awesome Gesture Generation

Official PyTorch implementation of GENESIS and GENESIS-V2

Diffusionfromscratch ⭐ 67

Rebuild the Stable Diffusion Model in a single python script. Tutorial for Harvard ML from Scratch Series

Ctab Gan ⭐ 65

Official git for "CTAB-GAN: Effective Table Data Synthesizing"

Generative modeling of synthetic time series data and time series augmentations

CSGNet: Neural Shape parser for Constructive Solid Geometry

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

Awesome Does Not Exist ⭐ 56

A collection of This * Does Not Exist websites.

PyTorch reimplementation of WaveGAN

Awesome Denovo Papers ⭐ 53

Awesome De novo drugs design papers

a Wide Shelf for AI and Data Science | Resources 🍔

Multimodal Vae Public ⭐ 52

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

A Toolkit for Distributional Control of Generative Models

Reinforcement learning algorithms in RLlib

The notes for Math, Machine Learning, Deep Learning and Research papers.

Materials Synthesis Generative Models ⭐ 47

Public release of data and code for materials synthesis generation

Gatedpixelcnnpytorch ⭐ 46

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

Ai_learning_hub ⭐ 45

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Im2latex ⭐ 44

Solution to im2latex request for research of openai

Vae_protein_function ⭐ 44

Protein function prediction using a variational autoencoder

Causal Semantic Generative Model ⭐ 43

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

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

Causal Gen ⭐ 41

(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several folders, or covering topics spanning across multiple folders..

Inpaintnet ⭐ 39

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

Diffroll ⭐ 33

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

Autoregressive ⭐ 32

🥝 Autoregressive Models in PyTorch.

Wacv 2024 Papers ⭐ 32

WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

Official implementation of DrugGEN

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017

Model Zoo ⭐ 29

Implementations of various Deep Learning models in PyTorch and TensorFlow.

PyTorch implementation of slicing adversarial network (SAN)

[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

Gans In Action ⭐ 24

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Projectshub ⭐ 22

Welcome to the ProjectsHub Platform repository! 🚀Your go-to platform for hackathons, coding challenges, project concepts, and freelance tasks. Join now to explore, learn, and collaborate with fellow tech enthusiasts. Let's create something amazing together! 🚀

Coarse Graining Auto Encoders ⭐ 21

Disent And Gen ⭐ 20

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

Reinvent Randomized ⭐ 20

Recurrent Neural Network using randomized SMILES strings to generate molecules

Py Msa Kdenlive ⭐ 18

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

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

Deep Learning ⭐ 18

time series forecasting with deep learning

Implicit generative models and related stuff based on the MMD, in PyTorch

Simple Variational Autoencoder ⭐ 16

A VAE written entirely in Numpy/Cupy

An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.

Orgainzed Digital Intelligent Network (O.D.I.N)

Paper Survey ⭐ 15

Ai On Browser.github.io ⭐ 14

Machine learning and data analysis package implemented in JavaScript and its online demo.

Keypoint Diffusion ⭐ 12

A diffusion model for structure-based drug design with faster inference from learned representations of protein structure.

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