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-inference
  TabDPT: Scaling Tabular Foundation Models on Real Data
  ☆33Updated this week
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆67Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆67Updated last year
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆53Updated 7 months ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆69Updated 2 years ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆29Updated last year
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆42Updated 4 months ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• pietrobarbiero / pytorch_explain
  PyTorch Explain: Interpretable Deep Learning in Python.
  ☆155Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆78Updated 4 months ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆77Updated last year
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆36Updated 11 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated last year
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆52Updated 3 months ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆50Updated 2 years ago
• requeima / llm_processes
  ☆60Updated 3 months ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆77Updated last month
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆66Updated 5 months ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 7 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
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆67Updated 2 years ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆60Updated 4 months ago
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆128Updated 8 months ago
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆32Updated last year
• tianyu139 / meaning-as-trajectories
  Official PyTorch Implementation for Meaning Representations from Trajectories in Autoregressive Models (ICLR 2024)
  ☆21Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆45Updated 2 years ago
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated 2 years ago