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).
  ☆979Updated last year
• marcoancona / DeepExplain
  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…
  ☆754Updated 4 years ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆631Updated 3 years ago
• sicara / tf-explain
  Interpretability Methods for tf.keras models with Tensorflow 2.x
  ☆1,029Updated last year
• tensorflow / fairness-indicators
  Tensorflow's Fairness Evaluation and Visualization Toolkit
  ☆353Updated last week
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆160Updated last year
• sebastian-lapuschkin / lrp_toolbox
  The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…
  ☆334Updated 3 years ago
• kundajelab / deeplift
  Public facing deeplift repo
  ☆861Updated 3 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆805Updated 3 years ago
• google-research-datasets / bam
  ☆51Updated 4 years ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆837Updated 3 years ago
• fredhohman / summit
  🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
  ☆115Updated 5 years ago
• albermax / innvestigate
  A toolbox to iNNvestigate neural networks' predictions!
  ☆1,303Updated 3 months ago
• google-research / robustness_metrics
  ☆470Updated 3 months ago
• lopusz / awesome-interpretable-machine-learning
  ☆915Updated 2 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆398Updated 4 years ago
• BeenKim / MMD-critic
  ☆134Updated 5 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆570Updated last year
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆966Updated 10 months ago
• eclique / RISE
  Detect model's attention
  ☆167Updated 5 years ago
• alvinwan / neural-backed-decision-trees
  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
  ☆623Updated 2 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆672Updated 2 years ago
• adebayoj / sanity_checks_saliency
  ☆112Updated 2 years ago
• google / svcca
  ☆635Updated 3 years ago
• atulshanbhag / Layerwise-Relevance-Propagation
  Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
  ☆99Updated 6 years ago
• facebookresearch / TorchRay
  Understanding Deep Networks via Extremal Perturbations and Smooth Masks
  ☆347Updated 5 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆118Updated 4 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆73Updated 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…
  ☆304Updated 4 years ago
• google / ml-fairness-gym
  ☆315Updated 2 years ago