Alternatives and similar repositories for pywhyllm

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

• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆109Updated this week
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆308Updated 7 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆100Updated 7 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆62Updated 3 weeks ago
• microsoft / causica
  ☆513Updated 11 months ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆240Updated 4 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 11 months ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆157Updated last month
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆265Updated 2 months ago
• Lancelot39 / Causal-Copilot
  ☆157Updated 2 months ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated 2 months ago
• profitopsai / ProRCA
  ☆21Updated 7 months ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆79Updated 2 years ago
• noahho / CAAFE
  Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automat…
  ☆177Updated 11 months ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆79Updated last year
• boschresearch / causalAssembly
  ☆32Updated 3 months ago
• superkaiba / causal-llm-bfs
  Efficient Full Causal Graph Discovery Using Large Language Models
  ☆42Updated last year
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated last week
• csinva / imodelsX
  Interpret text data with LLMs (sklearn compatible).
  ☆172Updated last month
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆112Updated 4 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated last year
• acmi-lab / local-causal-discovery
  Code for the paper "Local Causal Discovery for Estimating Causal Effects".
  ☆11Updated last year
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆83Updated 4 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 7 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated last month
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆74Updated last week