Alternatives and similar repositories for reliableAI

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

• ZhangTP1996 / TapTap
  ☆64Updated last year
• microsoft / ML4C
  [SDM'23] ML4C: Seeing Causality Through Latent Vicinity
  ☆12Updated 2 years ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆77Updated 11 months ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆42Updated 2 months ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆67Updated 3 years ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated 3 months ago
• ArnoVel / structure-identification
  Uses several statistical tests / algorithms on marginal / conditional distributions
  ☆8Updated last year
• 12wang3 / mllp
  The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
  ☆24Updated last year
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆67Updated 2 years ago
• rmwu / sea-reproduce
  Sample, estimate, aggregate: A recipe for causal discovery foundation models
  ☆10Updated 10 months ago
• microsoft / automated-brain-explanations
  Generating and validating natural-language explanations for the brain.
  ☆52Updated last month
• windxrz / DCFR
  Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".
  ☆16Updated 11 months ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆27Updated 11 months ago
• EdinburghNLP / torch-adaptive-imle
  ☆34Updated 5 months ago
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆26Updated 2 weeks ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• DAMO-DI-ML / AAAI2022-HCM
  Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
  ☆38Updated 2 years ago
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆31Updated 9 months ago
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆12Updated 3 years ago
• facebookresearch / synlm
  Code for paper: "Privately generating tabular data using language models".
  ☆15Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆61Updated 2 months ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• googleinterns / controllabledl
  ☆37Updated 3 years ago
• Sungwon-Han / FeatLLM
  ☆32Updated last year
• microsoft / MWSS
  Early Detection of Fake News with Multi-source Weak Social Supervision
  ☆20Updated last year
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆62Updated 3 months ago
• feradauto / MoralCoT
  Repo for: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
  ☆38Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆66Updated 10 months ago
• microsoft / CASPR
  CASPR is a deep learning framework applying transformer architecture to learn and predict from tabular data at scale.
  ☆38Updated 2 years ago