Alternatives and similar repositories for Data_Augmentation_with_VAE-DALI

Users that are interested in Data_Augmentation_with_VAE-DALI are comparing it to the libraries listed below

• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• clarafy / conformal-for-design
  ☆29Updated 2 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 6 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated 2 years ago
• ggbioing / mcvae
  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.
  ☆32Updated 4 years ago
• salesforce / genhance
  ☆35Updated 3 months ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆75Updated 4 years ago
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆30Updated 3 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated 9 months ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆54Updated this week
• xbresson / Long_Tailed_Learning_Requires_Feature_Learning
  Repository for ICLR'23 Long-tailed Learning Requires Feature Learning
  ☆10Updated 2 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆66Updated 5 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated last year
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• dimkal89 / rvae
  ☆38Updated 5 years ago
• lucidrains / molecule-attention-transformer
  Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
  ☆58Updated 4 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated 4 months ago
• songlab-cal / factored-attention
  This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …
  ☆58Updated 2 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• clementchadebec / geometric_perspective_on_vaes
  Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)
  ☆13Updated 9 months ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 months ago
• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 5 years ago
• FelixdenBreejen / TabForestPFN
  ☆49Updated last year
• ngruver / lie-deriv
  ☆38Updated 2 years ago
• lucidrains / ddpm-proteins
  A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms
  ☆142Updated 3 years ago
• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆47Updated 4 years ago
• lucidrains / tranception-pytorch
  Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction
  ☆32Updated 3 years ago