Alternatives and similar repositories for pycid

Users that are interested in pycid 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
• BasisResearch / chirho
  An experimental language for causal reasoning
  ☆219Updated 3 weeks ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆35Updated 4 years ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆422Updated last year
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆71Updated last month
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆87Updated 3 years ago
• causal-rl-anonymous / causal-rl
  ☆44Updated 3 years ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆50Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆84Updated last year
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆118Updated 3 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆66Updated 5 months ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆72Updated 2 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆87Updated 3 months ago
• greenpau / Machine-Learning-and-Artificial-Intelligence
  Resources to learn more about Machine Learning and Artificial Intelligence
  ☆27Updated 4 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆40Updated 2 years ago
• ucla-csl / mabuc
  Simulation code for reference with MABUC article: Bareinboim, Forney, & Pearl (2015)
  ☆17Updated 9 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated 2 weeks ago
• jneuer / pearl-primer
  Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*
  ☆67Updated 6 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 7 months ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆77Updated last year
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆90Updated last month
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• google-deepmind / neural_testbed
  ☆192Updated last month
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆169Updated last month
• zecevic-matej / Not-All-Causal-Inference-is-the-Same
  Official code repository to the corresponding paper.
  ☆29Updated last year
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year