Alternatives and similar repositories for lime-experiments

Users that are interested in lime-experiments are comparing it to the libraries listed below

• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆804Updated 2 years ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆630Updated 3 years ago
• BeenKim / MMD-critic
  ☆134Updated 5 years ago
• ArrasL / LRP_for_LSTM
  Layer-wise Relevance Propagation (LRP) for LSTMs.
  ☆226Updated 5 years ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆916Updated 2 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• VigneshSrinivasan10 / interprettensor
  ☆100Updated 7 years ago
• kohpangwei / influence-release
  ☆792Updated 4 years ago
• kundajelab / deeplift
  Public facing deeplift repo
  ☆859Updated 3 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• amarasovic / interpretability-literature
  ☆264Updated 5 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆503Updated 3 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 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…
  ☆334Updated 3 years ago
• adebayoj / fairml
  ☆364Updated 4 years ago
• kimhc6028 / soft-decision-tree
  pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
  ☆297Updated 6 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆208Updated 4 years ago
• hiranumn / IntegratedGradients
  Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…
  ☆217Updated 7 years ago
• conversationai / unintended-ml-bias-analysis
  ☆327Updated 3 weeks ago
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 3 years ago
• marcoancona / DASP
  Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)
  ☆61Updated 6 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆343Updated 4 years ago
• google / TrustScore
  To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…
  ☆176Updated 2 years ago
• Azure / active-learning-workshop
  Active Learning Workshop Materials
  ☆121Updated 6 years ago