Alternatives and similar repositories for kdro

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

• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 5 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆12Updated 2 years ago
• HxSun08 / Alt-Diff
  ☆26Updated last year
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• nicola-bastianello / tvopt
  tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
  ☆14Updated 2 years ago
• PerformanceEstimation / Performance-Estimation-Toolbox
  Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…
  ☆54Updated last year
• sorooshafiee / Regularization-via-Transportation
  Source files for our regularization paper!
  ☆16Updated 6 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year
• stellatogrp / mro_experiments
  ☆30Updated 7 months ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆89Updated 2 months ago
• fidero / gp-derivative
  Example code to speed up GP inference with gradients for high-dimensional inputs.
  ☆14Updated 4 years ago
• akuhren / selective_gp
  Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".
  ☆25Updated 2 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 2 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• stellatogrp / l2ws
  ☆14Updated last year
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆12Updated 3 years ago
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆104Updated 2 years ago
• asrvsn / koopman-robust-control
  Uncertainty sets for nonlinear dynamical systems
  ☆10Updated 4 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 5 years ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆108Updated 4 months ago
• Nicolivain / online-sequential-optimization
  Online Convex Optimization algorithms in Python
  ☆12Updated 3 years ago
• stellatogrp / lropt
  ☆23Updated 4 months ago
• ae-foster / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆12Updated 5 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• wesg52 / sindy_mio_paper
  Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization
  ☆16Updated 3 years ago
• cvxpy / cvxtorch
  Convert CVXPY expressions to PyTorch expressions
  ☆17Updated 3 months ago
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆14Updated 2 months ago
• cvxgrp / cvxpyrepair
  Code for "Automatic repair of convex optimization problems".
  ☆14Updated 5 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆55Updated last year
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆33Updated last week