Alternatives and similar repositories for interpretability-theory

Users that are interested in interpretability-theory are comparing it to the libraries listed below

• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated 2 months ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated 2 years ago
• google-deepmind / ssl_hsic
  ☆39Updated last year
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated 2 years ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆48Updated 2 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 4 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆43Updated 3 years ago
• hsouri / BayesianTransferLearning
  ☆111Updated 3 years ago
• pomonam / jax-influence
  A simple Jax implementation of influence functions.
  ☆20Updated last year
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 5 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• BatsResearch / nplm
  A weak supervision framework for (partial) labeling functions
  ☆16Updated last year
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆30Updated 4 years ago
• noranta4 / ASIF
  Personal implementation of ASIF by Antonio Norelli
  ☆26Updated last year
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• YujiaBao / ls
  Learning to Split for Automatic Bias Detection
  ☆47Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆47Updated 2 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 3 years ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆75Updated 2 years ago
• socialfoundations / benchbench
  BenchBench is a Python package to evaluate multi-task benchmarks.
  ☆18Updated 2 months ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 3 years ago
• google-research / jax-influence
  ☆63Updated 3 years ago
• JonasGeiping / dataaugs
  ☆18Updated 3 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated 2 years ago
• visinf / fast-axiomatic-attribution
  Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
  ☆16Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆52Updated 2 years ago
• alextamkin / dabs
  A Domain-Agnostic Benchmark for Self-Supervised Learning
  ☆106Updated 2 years ago