deep-generative-models
There are 39 repositories under deep-generative-models topic.
AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
zengxianyu/sketchedit
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022
tqch/ddpm-torch
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
deep-learning-indaba/indaba-pracs-2022
Notebooks for the Practicals at the Deep Learning Indaba 2022.
probabilisticai/probai-2019
Materials of the Nordic Probabilistic AI School 2019.
probabilisticai/probai-2021
Materials of the Nordic Probabilistic AI School 2021.
asarigun/awesome-denovo-papers
Awesome De novo drugs design papers
yulinliu101/DeepTP
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
VinAIResearch/PCC-pytorch
A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"
Jason-cs18/awesome-avatar
📖 A curated list of resources dedicated to avatar.
makora9143/pytorch-convcnp
A PyTorch Implementation of Convolutional Conditional Neural Process.
FabianFalck/mfcvae
Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.
MJfadeaway/DAS
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
boathit/deepgtt
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
tqch/v-diffusion-torch
PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance
tsinghua-fib-lab/DeepMobility
The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.
Center-for-Health-Data-Science/bulkDGD
Code, documentation, and tutorials for the DGD model trained on bulk RNA-Seq data.
hamidreza-dastmalchi/WIPA-Face-Super-Resolution
Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.
Tayjsl97/RL-Chord
This is the official implementation of RL-Chord (TNNLS).
MRSAIL-Mini-Robotics-Software-AI-Lab/GANVAS-models
Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)
ameya98/DeepGenerativeModels
PyTorch Implementations of Popular Deep Generative Models.
YuejiangLIU/pytorch-collaborative-gan-sampling
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
ImanGoudarzvand/MultiSpectral-Diffusion
Official PyTorch implementation of the paper "MultiSpectral diffusion: joint generation of wavelet coefficients for image synthesis and upsampling"
pemami4911/IODINE.pytorch
Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450
gtesei/facial_unpaired_i2i_translation_SA_C_CC_GAN
Facial Unpaired Image-to-Image Translation with (Self-Attention) Conditional Cycle-Consistent Generative Adversarial Networks
agnarbjoernstad/DeepLearning
Exercises from IT3030 V20
dadadadawjb/DGMHowTo
Deep Generative Models with clean and well-annotated PyTorch re-implementation
michelhilg/data-synthesis
This GitHub repository showcases my bachelor thesis which is focused on exploring the application and comparison of various deep generative models for synthetic image augmentation in manufacturing domain.
priyanshujiiii/awesome-GenAI
Resources and references on solved and unsolved problems in generative AI, covering probabilistic foundations, model architectures, learning algorithms, implementations, and applications.
andreasfloros/diffusion
Denoising Diffusion Probabilistic Models
AnmolS99/Deep-Generative-Models
Comparison of standard autoencoder and variational autoencoder (VAE) as deep generative models
bavafaali/Generative-Models
Deep Generative Models
VictorZXY/expressive-graph-gen
Mini-project for my CST Part III Representation Learning on Graphs and Networks (L45) module
yehonatanke/UNet_DDPM
Diffusion model for image generation, based on the Denoising Diffusion Probabilistic Models (DDPM) and U-Net architecture.