Alternatives and similar repositories for TalkToModel

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

• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated last year
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆252Updated last year
• alexandrainst / responsible-ai
  Responsible AI knowledge base
  ☆110Updated 2 years ago
• csinva / imodelsX
  Interpret text data with LLMs (sklearn compatible).
  ☆176Updated last week
• g8a9 / ferret
  A python package for benchmarking interpretability techniques on Transformers.
  ☆215Updated last year
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆243Updated last month
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆69Updated last year
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated 2 months ago
• tabularis-ai / be_great
  A novel approach for synthesizing tabular data using pretrained large language models
  ☆344Updated 2 months ago
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆33Updated 2 months ago
• YilunZhou / ExSum
  Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"
  ☆64Updated 3 years ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆70Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆85Updated 3 years ago
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆133Updated last year
• simsal0r / mixture-of-decision-trees
  Mixture of Decision Trees for Interpretable Machine Learning
  ☆11Updated 4 years ago
• AthenaCore / AwesomeResponsibleAI
  A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity mode…
  ☆112Updated last week
• gretelai / awesome-synthetic-data
  📖 A curated list of resources dedicated to synthetic data
  ☆140Updated 3 years ago
• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆154Updated 3 years ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆36Updated 11 months ago
• dcai-course / dcai-course
  Introduction to Data-Centric AI, MIT IAP 2024 🤖
  ☆106Updated 7 months ago
• vinid / NegotiationArena
  ☆80Updated last year
• JieyuZ2 / Awesome-Weak-Supervision
  A curated list of programmatic weak supervision papers and resources
  ☆190Updated 2 years ago
• flecue / xai-aaai2022
  ☆31Updated 3 years ago
• elehman16 / exposing_patient_data_release
  ☆52Updated 4 years ago
• IBM / inFairness
  PyTorch package to train and audit ML models for Individual Fairness
  ☆66Updated 4 months ago
• michael-aloys / awesome-weak-supervision
  ☆40Updated 2 years ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆287Updated last month
• Data-Provenance-Initiative / Data-Provenance-Collection
  ☆261Updated 10 months ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆19Updated 2 years ago