Alternatives and similar repositories for ntk_matrix_completion

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

• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated last year
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆24Updated last year
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 5 years ago
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆42Updated 5 years ago
• clarafy / conformal-for-design
  ☆28Updated 3 years ago
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated 2 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
• 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 3 years ago
• eugenelin1 / DRA
  ☆17Updated 5 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆86Updated 7 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆57Updated 2 months ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• insilicomedicine / DD-VAE
  Deterministic Decoding for Discrete Data in Variational Autoencoders
  ☆24Updated 5 years ago
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆24Updated 2 years ago
• genedisco / genedisco
  GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
  ☆40Updated 2 years ago
• stat-ml / GeoMLE
  This repo contains code for GeoMLE intrinsic dimension estimation algorithm
  ☆20Updated 5 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
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 4 years ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆58Updated 2 years ago
• KevinMoonLab / GRAE
  Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
  ☆22Updated 2 years ago
• KrishnaswamyLab / MIOFlow
  ☆34Updated 3 months ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆27Updated 3 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 / 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
• clementchadebec / Data_Augmentation_with_VAE-DALI
  ☆18Updated 3 years ago
• amirmohan / epistatic-net
  Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…
  ☆18Updated 4 years ago
• welch-lab / MichiGAN
  Learning disentangled representations of single-cell data for high-quality generation
  ☆16Updated last year
• fraenkel-lab / mogp
  Mixture of Gaussian Processes Model for Sparse Longitudinal Data
  ☆38Updated 3 years ago
• lilab-bcb / nmf-torch
  ☆11Updated 8 months ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆42Updated 5 years ago