Alternatives and similar repositories for 2017-ot-beginners

Users that are interested in 2017-ot-beginners are comparing it to the libraries listed below

• lchizat / optimal-transport
  Optimal transport and generalizations
  ☆66Updated 6 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• cvxgrp / aa
  Anderson Acceleration
  ☆20Updated 3 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 8 years ago
• bernhard-schmitzer / optimal-transport
  A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.
  ☆55Updated 4 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆134Updated 3 weeks ago
• audeg / StochasticOT
  Stochastic Optimization for Optimal Transport
  ☆22Updated 9 years ago
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 7 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated 2 years ago
• gpeyre / 2017-MCOM-unbalanced-ot
  L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.
  ☆43Updated 8 years ago
• gianlucadetommaso / Stein-variational-samplers
  Python and MATLAB code for Stein Variational sampling methods
  ☆26Updated 6 years ago
• svaiter / pyprox
  Proximal algorithms made easy in Python
  ☆59Updated 8 years ago
• n-takeishi / bayesiandmd
  Bayesian Dynamic Mode Decomposition (Bayesian DMD)
  ☆18Updated 4 years ago
• IPAIopen / NumDL-CourseNotes
  Course notes for graduate-level class on numerical methods for deep learning
  ☆52Updated 4 years ago
• bobye / WBC_Matlab
  Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …
  ☆24Updated 6 years ago
• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆52Updated 5 months ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 7 years ago
• gpeyre / 2013-SIIMS-ot-splitting
  N. Papadakis, G. Peyré, E. Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, 7(1), pp. 212–238, 2014.
  ☆11Updated 9 years ago
• oxfordcontrol / Bayesian-Optimization
  Reference implementation of Optimistic Expected Improvement.
  ☆50Updated 5 years ago
• yorkerlin / VB-MixEF
  Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"
  ☆19Updated 5 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆33Updated 2 years ago
• ghliu / mean-field-fcdnn
  ☆28Updated 6 years ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆117Updated 3 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆61Updated 8 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• duvenaud / harlemcmc-shake
  Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
  ☆36Updated 11 years ago
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆189Updated last year
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 5 years ago