deep-generative-model
There are 64 repositories under deep-generative-model topic.
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
lrjconan/GRAN
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
maum-ai/nuwave
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
MinkaiXu/GeoLDM
Geometric Latent Diffusion Models for 3D Molecule Generation
yunqing-me/AttackVLM
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems
sony/sqvae
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
FranxYao/dgm_latent_bow
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
maum-ai/wavegrad2
Unofficial Pytorch Implementation of WaveGrad2
naru-project/naru
Neural Relation Understanding: neural cardinality estimators for tabular data
sony/san
PyTorch implementation of slicing adversarial network (SAN)
joanrod/ocr-vqgan
OCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-image generation. Fork from VQGAN in CompVis/taming-transformers
neurocard/neurocard
State-of-the-art neural cardinality estimators for join queries
sony/DiffRoll
PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model
SUwonglab/CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
L0SG/NanoFlow
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
kimmo1019/Roundtrip
Roundtrip: density estimation with deep generative neural networks
OctoberChang/klcpd_code
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
labomics/midas
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
GenSI-THUAIR/GeoBFN
Implementation for ICLR2024 Oral paper "Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks"
FranxYao/Gumbel-CRF
Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
bacnguyencong/rbm-pytorch
An implementation of Restricted Boltzmann Machine in Pytorch
pinellolab/pyrovelocity
𝒫robabilistic modeling of RNA velocity ⬱
yoonholee/pytorch-vae
A minimal pytorch implementation of VAE, IWAE, MIWAE
GenSI-THUAIR/MolFM
Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
DIG-Kaust/RockGAN
Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.
yukara-ikemiya/minimal-sqvae
A minimal Pytorch Implementation of Stochastically Quantized Variational AutoEncoder (SQ-VAE) by Sony
AspirinCode/AlphaPPImd
Exploring the conformational ensembles of protein-protein complexes with transformer-based generative neural networks
robert-giaquinto/gradient-boosted-normalizing-flows
We got a stew going!
for0nething/FACE-A-Normalizing-Flow-based-Cardinality-Estimator
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
vita-epfl/collaborative-gan-sampling
[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
pemami4911/EfficientMORL
EfficientMORL (ICML'21)
tristan-deep/joint-diffusion
Official code repository for the paper: Removing Structured Noise using Diffusion Models
hollobit/ML_evaluation_metrics
Landscape of ML/DL performance evaluation metrics
LucasESBS/vega
VEGA: VAE Enhanced by Gene Annotations
lvyilin/DGC
Official implementation of CVPR2020 paper "Deep Generative Model for Robust Imbalance Classification"
Shahriar-0/Neural-Networks-and-Deep-Learning-Course-Projects-S2024
neural network and deep learning course projects to work and design on different problems such as classification, regression, optimisation and much more