Alternatives and similar repositories for tcav

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

• PAIR-code / saliency
  Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
  ☆990Updated last year
• marcoancona / DeepExplain
  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…
  ☆761Updated 5 years ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆645Updated 3 years ago
• sicara / tf-explain
  Interpretability Methods for tf.keras models with Tensorflow 2.x
  ☆1,036Updated last year
• tensorflow / fairness-indicators
  Tensorflow's Fairness Evaluation and Visualization Toolkit
  ☆357Updated 5 months ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆843Updated 3 years ago
• google-research / robustness_metrics
  ☆472Updated 3 months ago
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆161Updated last year
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆813Updated 3 years ago
• sebastian-lapuschkin / lrp_toolbox
  The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…
  ☆335Updated 3 years ago
• google-research-datasets / bam
  ☆51Updated 5 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆671Updated 2 years ago
• google / ml-fairness-gym
  ☆316Updated 2 years ago
• kundajelab / deeplift
  Public facing deeplift repo
  ☆872Updated 3 years ago
• fredhohman / summit
  🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
  ☆116Updated 5 years ago
• eclique / RISE
  Detect model's attention
  ☆170Updated 5 years ago
• BeenKim / MMD-critic
  ☆135Updated 6 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆918Updated 2 years ago
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆988Updated last month
• albermax / innvestigate
  A toolbox to iNNvestigate neural networks' predictions!
  ☆1,306Updated 9 months ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 5 years ago
• facebookresearch / TorchRay
  Understanding Deep Networks via Extremal Perturbations and Smooth Masks
  ☆348Updated 5 years ago
• adebayoj / sanity_checks_saliency
  ☆113Updated 3 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆591Updated last year
• google / svcca
  ☆641Updated 4 years ago
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆948Updated 2 years ago
• davidbau / dissect
  Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…
  ☆306Updated 5 years ago
• cfchen-duke / ProtoPNet
  This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…
  ☆385Updated 3 years ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆578Updated 8 months ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆119Updated 4 years ago