Alternatives and similar repositories for pycid

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

• BasisResearch / chirho
  An experimental language for causal reasoning
  ☆250Updated 2 months ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆52Updated last year
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆425Updated 2 years ago
• causal-rl-anonymous / causal-rl
  ☆48Updated 3 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆112Updated 2 weeks ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆77Updated this week
• pilancilab / scnn
  Scalable Convex Neural Networks
  ☆25Updated 9 months ago
• ucla-csl / mabuc
  Simulation code for reference with MABUC article: Bareinboim, Forney, & Pearl (2015)
  ☆17Updated 10 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆89Updated last year
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆39Updated 4 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆71Updated 11 months ago
• Human-Centric-Machine-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆29Updated last year
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆40Updated 2 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆32Updated 3 years ago
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆122Updated 4 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆96Updated 7 months ago
• google-deepmind / neural_testbed
  ☆195Updated 3 weeks ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 6 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆84Updated last year
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆82Updated 2 years ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆61Updated last year
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆164Updated last year
• mila-iqia / climate-cooperation-competition
  AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. ai4climatecoop.…
  ☆48Updated 3 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆86Updated 4 years ago
• Harshs27 / neural-graphical-models
  Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling
  ☆30Updated 5 months ago
• TyXe-BDL / TyXe
  ☆156Updated 3 years ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆58Updated 3 months ago
• eberharf / cfl
  ☆19Updated 8 months ago