Alternatives and similar repositories for online-sequential-optimization

Users that are interested in online-sequential-optimization are comparing it to the libraries listed below

• cornell-orie / ORSuite
  ☆14Updated 2 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 6 years ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆21Updated 4 years ago
• guaguakai / decision-focused-RL
  ☆12Updated 4 years ago
• rtm2130 / MST
  Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
  ☆17Updated 2 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆19Updated 2 years ago
• wesg52 / sindy_mio_paper
  Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization
  ☆16Updated 3 years ago
• TeaPearce / Censored_Quantile_Regression_NN
  NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'
  ☆12Updated 3 years ago
• dh7401 / T-Cal
  ☆10Updated 3 years ago
• meowoodie / Neural-Spectral-Marked-Point-Processes
  A novel general non-stationary point process model based on neural networks.
  ☆11Updated 3 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• jj-zhu / kdro
  Code for the paper: Kernel Distributionally Robust Optimization
  ☆13Updated 4 years ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆18Updated last year
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆37Updated 3 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• d3group / ddop
  Data-Driven operations management - https://d3group.github.io/ddop
  ☆18Updated last year
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• HxSun08 / Alt-Diff
  ☆26Updated last year
• XintianHan / Survival-MDN
  ☆14Updated 3 years ago
• YannDubs / SSL-Risk-Decomposition
  Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".
  ☆15Updated 2 years ago
• stellatogrp / l2ws
  ☆15Updated last year
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆39Updated 6 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆31Updated last year
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆23Updated 3 years ago
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆13Updated 4 years ago
• xuwkk / task_aware_machine_unlearning
  This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
  ☆12Updated last year
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆12Updated 2 years ago