Alternatives and similar repositories for deeplift

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

• marcoancona / DeepExplain
  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…
  ☆754Updated 5 years ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆637Updated 3 years ago
• albermax / innvestigate
  A toolbox to iNNvestigate neural networks' predictions!
  ☆1,305Updated 4 months ago
• tensorflow / tcav
  Code for the TCAV ML interpretability project
  ☆642Updated 2 months 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
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆807Updated 3 years ago
• PAIR-code / saliency
  Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
  ☆983Updated last year
• marcotcr / lime-experiments
  Code for all experiments.
  ☆318Updated 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
• ArrasL / LRP_for_LSTM
  Layer-wise Relevance Propagation (LRP) for LSTMs.
  ☆225Updated 5 years ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆185Updated 5 years ago
• sicara / tf-explain
  Interpretability Methods for tf.keras models with Tensorflow 2.x
  ☆1,029Updated last year
• VigneshSrinivasan10 / interprettensor
  ☆100Updated 7 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆915Updated 2 years ago
• 1202kbs / Understanding-NN
  Tensorflow tutorial for various Deep Neural Network visualization techniques
  ☆346Updated 5 years ago
• kohpangwei / influence-release
  ☆793Updated 4 years ago
• KlugerLab / FIt-SNE
  Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
  ☆603Updated 3 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆220Updated 10 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆274Updated this week
• amiratag / DataShapley
  Data Shapley: Equitable Valuation of Data for Machine Learning
  ☆277Updated last year
• atulshanbhag / Layerwise-Relevance-Propagation
  Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
  ☆99Updated 7 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated last year
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,726Updated 6 months ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆839Updated 3 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆513Updated 2 months ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆83Updated 2 years ago
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆621Updated last month
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 7 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆188Updated 3 years ago