Alternatives and similar repositories for CausalDecisionTree

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

• saitcakmak / BoRisk
  Bayesian Optimization of Risk Measures
  ☆21Updated 2 years ago
• zikunye2 / deep_learning_based_causal_inference_for_combinatorial_experiments
  codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments
  ☆14Updated 9 months ago
• amber0309 / ANM-MM
  Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"
  ☆23Updated 6 years ago
• ZacKeskin / PyCausality
  Calculate predictive causality between time series using information-theoretic techniques
  ☆109Updated 4 years ago
• elifons / FeatureSaliencyHMM
  Implementation of Feature Saliency Hidden Markov Model (Adams, et al, 2016)
  ☆13Updated 3 years ago
• jmarecek / OnlineLDS
  Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…
  ☆19Updated 4 years ago
• acoache / RL-DynamicConvexRisk
  Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures
  ☆23Updated last year
• cvxgrp / exp_util_gm_portfolio_opt
  Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.
  ☆22Updated last year
• gsbDBI / contextual_bandits_evaluation
  Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
  ☆10Updated last year
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆43Updated 2 years ago
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 5 years ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated 2 years ago
• guaguakai / surrogate-optimization-learning
  ☆18Updated 4 years ago
• sebjai / robust-risk-aware-rl
  Some implementations from the paper robust risk aware reinforcement learning
  ☆36Updated 4 years ago
• DAMO-DI-ML / KDD2022-Tutorial-Time-Series
  KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
  ☆33Updated 2 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆30Updated 8 years ago
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆64Updated 5 years ago
• gwgundersen / bocd
  Python implementation of Bayesian online changepoint detection
  ☆106Updated 2 years ago
• cvxgrp / cptopt
  Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
  ☆37Updated last year
• 12wang3 / mllp
  The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
  ☆24Updated last year
• zahraatashgahi / ALACPD
  Change-point detection using neural networks
  ☆22Updated 2 years ago
• QingyunSun / Distributional-Robust-Kelly-Gambling
  ☆19Updated 5 years ago
• rtm2130 / MST
  Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
  ☆17Updated 2 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆44Updated 5 years ago
• Iyengar-Lab / E2E-DRO
  End-to-end distributionally robust optimization
  ☆37Updated 2 years ago
• PredOptwithSoftConstraint / PredOptwithSoftConstraint
  Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"
  ☆13Updated 4 years ago
• Ralami1859 / BayesianOnlineChange-pointDetection-python-codes-
  Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.
  ☆15Updated 4 years ago
• jayzern / bayesian-online-changepoint-detection-for-multivariate-point-processes
  Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow
  ☆36Updated 2 years ago
• YukiYasuda2718 / rl-bsmodel-with-costs
  Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…
  ☆21Updated 6 years ago
• SimonOuellette35 / BayesianRL
  Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations
  ☆29Updated 6 years ago