Alternatives and similar repositories for ot_estimators

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

• kexinrong / rehashing
  fast kernel evaluation in high dimensions via hashing
  ☆23Updated 4 years ago
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆58Updated 4 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆55Updated 6 years ago
• twistedcubic / que-outlier-detection
  [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.
  ☆26Updated 5 years ago
• talwagner / efficient_kde
  Efficient LSH-based kernel density estimation
  ☆29Updated 5 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆128Updated 4 years ago
• bernhard-schmitzer / optimal-transport
  A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.
  ☆53Updated 3 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 4 years ago
• twistedcubic / learn-to-hash
  Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.
  ☆73Updated 4 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• cybertronai / autograd-lib
  ☆33Updated 5 years ago
• nmonath / graphgrove
  A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and ne…
  ☆44Updated 2 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆245Updated 3 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 10 months ago
• lchizat / optimal-transport
  Optimal transport and generalizations
  ☆63Updated 6 years ago
• twistedcubic / fast_ot
  A study of performance of optimal transport.
  ☆10Updated 4 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆26Updated 5 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• ydtydr / HyperbolicTiling_Learning
  Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
  ☆18Updated 10 months ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆118Updated last year
• LCSL / FALKON_paper
  FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
  ☆29Updated 4 years ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 4 years ago
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• google-research / ott
  ☆214Updated 3 years ago
• g-benton / loss-surface-simplexes
  ☆99Updated 3 years ago
• pimdh / lie-vae
  VAEs with Lie Group latent space
  ☆99Updated 3 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆54Updated 5 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆146Updated last year