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

• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆84Updated 6 years ago
• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 5 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
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• genedisco / genedisco-starter
  The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.
  ☆24Updated 2 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆35Updated last month
• ggbioing / mcvae
  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.
  ☆30Updated 3 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆52Updated 8 months ago
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆19Updated 2 years ago
• genedisco / genedisco
  GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
  ☆36Updated last year
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆41Updated last year
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 3 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆27Updated 2 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆37Updated 10 months ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆34Updated 11 months ago
• uhlerlab / ntk_matrix_completion
  ☆14Updated 3 years ago
• danielkelshaw / ConcreteDropout
  PyTorch implementation of 'Concrete Dropout'
  ☆15Updated last year
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated last year
• KrishnaswamyLab / MIOFlow
  ☆21Updated last week
• ahmedmalaa / evaluating-generative-models
  ☆19Updated last year
• reoneo97 / vae-playground
  Implementation of Variational Autoencoders using Pytorch Lightning
  ☆33Updated last year
• MarkPKCollier / MissingDataVAEs
  ☆19Updated 4 years ago
• davisidarta / fastlapmap
  Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …
  ☆23Updated 3 years ago
• janosh / torch-mnf
  Multiplicative Normalizing Flows in PyTorch.
  ☆23Updated last week
• stefangroha / SurvNODE
  ☆16Updated 3 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆37Updated 2 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆21Updated 3 years ago