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
  ☆28Updated 3 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆43Updated 3 years ago
• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 6 years ago
• ahmedmalaa / evaluating-generative-models
  ☆22Updated 2 years ago
• cscarv / riemannian-metric-learning-ot
  ☆18Updated 2 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated last year
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆86Updated 7 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• insilicomedicine / DD-VAE
  Deterministic Decoding for Discrete Data in Variational Autoencoders
  ☆24Updated 5 years ago
• salesforce / genhance
  ☆34Updated 8 months ago
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 4 years ago
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆29Updated 3 years ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆76Updated 4 years ago
• ggbioing / mcvae
  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.
  ☆32Updated 4 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 5 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• uhlerlab / ntk_matrix_completion
  ☆14Updated 4 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
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated 9 months ago
• lucidrains / tranception-pytorch
  Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction
  ☆32Updated 3 years ago
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆71Updated last year
• dimkal89 / rvae
  ☆37Updated 5 years ago
• genedisco / genedisco-starter
  The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.
  ☆24Updated 3 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆57Updated 2 months ago
• hypnopump / rgn2-replica
  Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10.1101/2021.08.02.454840v1
  ☆37Updated 3 years ago
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆31Updated 4 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 4 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆29Updated 3 years ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆143Updated 3 years ago
• WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
  An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
  ☆42Updated 3 years ago