Alternatives and similar repositories for summit

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

• tensorflow / tcav
  Code for the TCAV ML interpretability project
  ☆648Updated 5 months ago
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆161Updated last year
• adebayoj / sanity_checks_saliency
  ☆112Updated 3 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…
  ☆305Updated 4 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆128Updated 4 years ago
• BeenKim / MMD-critic
  ☆135Updated 6 years ago
• google-research-datasets / bam
  ☆51Updated 5 years ago
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆129Updated 4 years ago
• distillpub / post--memorization-in-rnns
  Visualizing memorization in RNNs
  ☆66Updated 5 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆125Updated 4 years ago
• poloclub / FairVis
  FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
  ☆39Updated last year
• jacobgil / pytorch-explain-black-box
  PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
  ☆338Updated 4 years ago
• marcoancona / DASP
  Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)
  ☆62Updated 6 years ago
• IBM / Contrastive-Explanation-Method
  Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…
  ☆54Updated 7 years 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
• rulematrix / rule-matrix-py
  Python package for creating rule-based explanations for classifiers.
  ☆60Updated 6 years ago
• distillpub / post--feature-visualization
  Feature Visualization
  ☆135Updated 2 years ago
• wbawakate / fairtorch
  PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.
  ☆73Updated 2 years ago
• dtak / rrr
  Code/figures in Right for the Right Reasons
  ☆57Updated 4 years ago
• eclique / RISE
  Detect model's attention
  ☆169Updated 5 years ago
• dais-ita / interpretability-papers
  Papers on interpretable deep learning, for review
  ☆29Updated 7 years ago
• atulshanbhag / Layerwise-Relevance-Propagation
  Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
  ☆98Updated 7 years ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆132Updated 5 years ago
• amiratag / DataShapley
  Data Shapley: Equitable Valuation of Data for Machine Learning
  ☆281Updated last year
• modestyachts / CIFAR-10.1
  Release of CIFAR-10.1, a new test set for CIFAR-10.
  ☆225Updated 5 years ago
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• feifeife / All-about-XAI
  This repository is all about papers and tools of Explainable AI
  ☆36Updated 5 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
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆160Updated 2 years ago
• SinaMohseni / ML-Interpretability-Evaluation-Benchmark
  This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
  ☆30Updated 4 years ago