Alternatives and similar repositories for interpretability-theory

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

• google-deepmind / ssl_hsic
  ☆39Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• socialfoundations / benchbench
  BenchBench is a Python package to evaluate multi-task benchmarks.
  ☆18Updated 2 months ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated 2 years ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• SuReLI / NeurOps
  Implementations of growing and pruning in neural networks
  ☆22Updated 2 years ago
• BatsResearch / nplm
  A weak supervision framework for (partial) labeling functions
  ☆16Updated last year
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated last month
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• noranta4 / ASIF
  Personal implementation of ASIF by Antonio Norelli
  ☆26Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• YujiaBao / ls
  Learning to Split for Automatic Bias Detection
  ☆47Updated 2 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 4 years ago
• YilunZhou / optimal-active-learning
  Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
  ☆15Updated 4 years ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• AndreasMadsen / nlp-roar-interpretability
  Measuring if attention is explanation with ROAR
  ☆22Updated 2 years ago
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆18Updated 3 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
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 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
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆20Updated 11 months ago
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆41Updated last year
• apple / ml-reversal-blessing
  ☆18Updated 5 months ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆43Updated 3 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 5 years ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆40Updated 2 years ago
• hsouri / BayesianTransferLearning
  ☆111Updated 3 years ago
• google-deepmind / distribution_shift_framework
  This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…
  ☆84Updated last month