Alternatives and similar repositories for ntk_matrix_completion

Users that are interested in ntk_matrix_completion are comparing it to the libraries listed below

• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆42Updated 5 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated last year
• welch-lab / MichiGAN
  Learning disentangled representations of single-cell data for high-quality generation
  ☆16Updated last year
• eugenelin1 / DRA
  ☆17Updated 5 years ago
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 5 years ago
• KrishnaswamyLab / MIOFlow
  ☆34Updated 3 months ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆57Updated 3 months ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆24Updated last year
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆86Updated 7 years ago
• KevinMoonLab / GRAE
  Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
  ☆22Updated 2 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
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 5 years ago
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated 2 years ago
• kimmo1019 / Roundtrip
  Roundtrip: density estimation with deep generative neural networks
  ☆64Updated last year
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 5 years ago
• Genentech / dcdfg
  ☆28Updated 3 years ago
• lilab-bcb / nmf-torch
  ☆11Updated 8 months ago
• rs239 / schema
  Framework for integrating heterogeneous modalities of data
  ☆17Updated 3 years ago
• clementchadebec / Data_Augmentation_with_VAE-DALI
  ☆17Updated 3 years 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 …
  ☆59Updated 3 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• ml-jku / DeepRC
  DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
  ☆125Updated 2 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆40Updated last year
• eleGAN23 / QGAN
  Official PyTorch repository for Quaternion Generative Adversarial Networks.
  ☆22Updated 3 years ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆72Updated 2 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated last year
• atong01 / MultiscaleEMD
  Multiscale earth mover's distance methods for tree and manifold structured data
  ☆12Updated 11 months ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 5 years ago