Alternatives and similar repositories for counterfactual-explanations-mdp

Users that are interested in counterfactual-explanations-mdp are comparing it to the libraries listed below

• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆29Updated last year
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• antoinedesir / RUMnet
  ☆9Updated last year
• CausalML / DeepGMM
  ☆39Updated 5 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• cornell-orie / ORSuite
  ☆14Updated last year
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 3 years ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆20Updated 3 years ago
• zikunye2 / deep_learning_based_causal_inference_for_combinatorial_experiments
  codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments
  ☆12Updated 4 months ago
• d3group / ddop
  Data-Driven operations management - https://d3group.github.io/ddop
  ☆16Updated last year
• meowoodie / Neural-Spectral-Marked-Point-Processes
  A novel general non-stationary point process model based on neural networks.
  ☆10Updated 2 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated 2 years ago
• DanieleGammelli / multi-output-gp-censored-regression
  ☆9Updated 4 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 5 years ago
• guaguakai / surrogate-optimization-learning
  ☆17Updated 4 years ago
• mingzhang-yin / CoCo
  An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…
  ☆14Updated last year
• rtm2130 / MST
  Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
  ☆17Updated 2 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 3 years ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• li-lf / PyNOL
  A Python Package for Non-stationary Online Learning (PyNOL)
  ☆31Updated last year
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated 2 years ago
• sanghack81 / SDCIT
  A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)
  ☆16Updated 5 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆12Updated 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
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆28Updated last year
• hanshengjiang / Reference_Effects
  Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…
  ☆10Updated last year
• dh7401 / T-Cal
  ☆10Updated 3 years ago
• jcperdomo / performative-prediction
  ☆33Updated 3 years ago
• ma-aouad / DynamicMNL
  ☆10Updated 4 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆21Updated last year