Alternatives and similar repositories for LLM-Tabular-Memorization-Checker

Users that are interested in LLM-Tabular-Memorization-Checker are comparing it to the libraries listed below

• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆27Updated last month
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆67Updated 11 months ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆67Updated 2 months ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆42Updated 3 months ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆66Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆66Updated 11 months ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆27Updated last year
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆52Updated 5 months 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
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆64Updated 3 months ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆77Updated last year
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆66Updated 2 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆68Updated 3 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆70Updated 3 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆31Updated 4 years ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆57Updated 3 months ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆17Updated last year
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆87Updated this week
• requeima / llm_processes
  ☆60Updated 2 months ago
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆28Updated last year
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆22Updated 3 years ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆34Updated last year
• EdinburghNLP / torch-adaptive-imle
  ☆34Updated 6 months ago
• google-research / interpretability-theory
  ☆26Updated 2 years ago
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆31Updated 10 months ago