Alternatives and similar repositories for ConformalLLM

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

• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆75Updated 3 years ago
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆29Updated 2 years ago
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆133Updated last year
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆36Updated 11 months ago
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆114Updated last year
• causalNLP / cladder
  We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
  ☆137Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 3 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated 2 months ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆67Updated 3 months ago
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆41Updated last year
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆43Updated 3 years ago
• Mayo-Radiology-Informatics-Lab / conflare
  This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.
  ☆21Updated last year
• requeima / llm_processes
  ☆69Updated 10 months ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated last year
• Human-Centric-Machine-Learning / counterfactual-llms
  Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
  ☆32Updated last year
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆79Updated last year
• isgibbs / DtACI
  ☆18Updated 9 months ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• tatsu-lab / conformal-factual-lm
  ☆33Updated last year
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆73Updated last year
• pietrobarbiero / pytorch_explain
  PyTorch Explain: Interpretable Deep Learning in Python.
  ☆169Updated last year
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆29Updated last year
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆105Updated 2 years ago
• shuoli90 / Rank-Calibration
  This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.
  ☆13Updated last year
• BatsResearch / nplm
  A weak supervision framework for (partial) labeling functions
  ☆16Updated last year
• vinid / NegotiationArena
  ☆80Updated last year
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated last year
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆286Updated 3 weeks ago
• csinva / imodelsX
  Interpret text data with LLMs (sklearn compatible).
  ☆176Updated last week