Alternatives and similar repositories for causalai-book

Users that are interested in causalai-book are comparing it to the libraries listed below

• CausalAILab / NCMCounterfactuals
  ☆15Updated 2 years ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆280Updated last week
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆243Updated 6 months ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆67Updated 3 months ago
• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆31Updated 3 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆81Updated 2 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆88Updated last year
• acmi-lab / local-causal-discovery
  Code for the paper "Local Causal Discovery for Estimating Causal Effects".
  ☆11Updated last year
• psanch21 / causal-flows
  ☆52Updated last year
• SamuelGabriel / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆126Updated 3 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆70Updated 11 months ago
• csquires / 6.S091-causality
  ☆194Updated 2 years ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆55Updated 2 months ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆272Updated 4 months ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆75Updated 2 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆50Updated 3 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆178Updated last year
• csquires / causal-rep-learning-reading-group
  ☆22Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆110Updated last month
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆36Updated 11 months ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆79Updated last year
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆21Updated 10 months ago
• aangelopoulos / prediction-powered-inference
  A statistical toolkit for scientific discovery using machine learning
  ☆79Updated last year
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆90Updated 2 years ago
• dobriban / Principles-of-AI-LLMs
  Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…
  ☆43Updated 7 months ago
• requeima / llm_processes
  ☆69Updated 9 months ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆174Updated last year