microsoft / reliableAI

Related projects ⓘ

Alternatives and complementary repositories for reliableAI

• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆38Updated 6 months ago
• 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
  ☆75Updated 5 months ago
• BingzhaoZhu / XTab
  ☆31Updated last year
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆86Updated 6 months ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆58Updated last year
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆19Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆65Updated 3 years ago
• ServiceNow / typed-dag
  Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.
  ☆13Updated last year
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆41Updated 2 years ago
• ZhangTP1996 / TapTap
  ☆60Updated last year
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆25Updated last year
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆80Updated last year
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆29Updated 3 weeks ago
• windxrz / DCFR
  Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".
  ☆15Updated 5 months ago
• HazyResearch / fm_data_tasks
  Foundation Models for Data Tasks
  ☆100Updated last year
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆26Updated 3 months ago
• ArnoVel / structure-identification
  Uses several statistical tests / algorithms on marginal / conditional distributions
  ☆8Updated last year
• EdinburghNLP / torch-adaptive-imle
  ☆34Updated 11 months ago
• causalNLP / cladder
  We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
  ☆96Updated 5 months ago
• DAMO-DI-ML / AAAI2022-HCM
  Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
  ☆37Updated 2 years ago
• uclaml / MoE
  Towards Understanding the Mixture-of-Experts Layer in Deep Learning
  ☆21Updated 11 months ago
• lanxiang1017 / Language-Modeling-on-Tabular-Data-Survey
  A collection of AWESOME language modeling techniques on tabular data applications.
  ☆18Updated 3 weeks ago
• dylan-slack / Tablet
  The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.
  ☆19Updated last year
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆32Updated last year
• Yu-Group / clinical-rule-vetting
  Learning clinical-decision rules with interpretable models.
  ☆20Updated last year
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆43Updated 5 months ago
• 12wang3 / mllp
  The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
  ☆22Updated 8 months ago
• Sungwon-Han / FeatLLM
  ☆21Updated 6 months ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆57Updated 4 months ago