Alternatives and similar repositories for XAI-Scholar

Users that are interested in XAI-Scholar are comparing it to the libraries listed below

• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆40Updated last year
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆20Updated 10 months ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated last month
• Mayo-Radiology-Informatics-Lab / conflare
  This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.
  ☆21Updated last year
• csinva / iprompt
  Finding semantically meaningful and accurate prompts.
  ☆48Updated 2 years ago
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆40Updated last year
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆49Updated last year
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆29Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• epoch-research / training-cost-trends
  ☆20Updated last week
• IBM / inFairness
  PyTorch package to train and audit ML models for Individual Fairness
  ☆66Updated 2 months ago
• RewardReports / reward-reports
  Documentation for dynamic machine learning systems.
  ☆29Updated last year
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆55Updated last month
• cambridge-mlg / jolt
  ☆16Updated 3 months ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆48Updated last year
• tijana-zrnic / cross-ppi
  Cross-prediction-powered inference
  ☆15Updated last year
• andyzoujm / autocast
  Forecasting Future World Events with Neural Networks (NeurIPS 2022)
  ☆182Updated 2 years 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 3 years ago
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆64Updated 2 years ago
• stanford-crfm / fmti
  The Foundation Model Transparency Index
  ☆83Updated this week
• maragraziani / concept_discovery_svd
  Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…
  ☆14Updated 2 years ago
• vdlad / Remarkable-Robustness-of-LLMs
  Codebase the paper "The Remarkable Robustness of LLMs: Stages of Inference?"
  ☆19Updated 6 months ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆70Updated 2 years ago
• KaiNylund / lm-weights-encode-time
  ☆69Updated last year
• sambowyer / bayes_evals
  A lightweight library for Bayesian analysis of LLM evals (ICML 2025 Spotlight Position Paper)
  ☆21Updated 6 months ago
• Networks-Learning / counterfactual-llms
  Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
  ☆31Updated last year
• BatsResearch / nplm
  A weak supervision framework for (partial) labeling functions
  ☆16Updated last year