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…
  ☆759Updated 5 years ago
• albermax / innvestigate
  A toolbox to iNNvestigate neural networks' predictions!
  ☆1,306Updated 7 months ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆640Updated 3 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆811Updated 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
• tensorflow / tcav
  Code for the TCAV ML interpretability project
  ☆647Updated 5 months ago
• sicara / tf-explain
  Interpretability Methods for tf.keras models with Tensorflow 2.x
  ☆1,036Updated last year
• lopusz / awesome-interpretable-machine-learning
  ☆918Updated 2 years ago
• ArrasL / LRP_for_LSTM
  Layer-wise Relevance Propagation (LRP) for LSTMs.
  ☆225Updated 5 years ago
• PAIR-code / saliency
  Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
  ☆989Updated last year
• hiranumn / IntegratedGradients
  Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…
  ☆217Updated 7 years ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆189Updated 6 years ago
• kohpangwei / influence-release
  ☆798Updated 4 years ago
• VigneshSrinivasan10 / interprettensor
  ☆100Updated 7 years ago
• KlugerLab / FIt-SNE
  Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
  ☆606Updated 4 years ago
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,167Updated 4 months ago
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,746Updated 9 months ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆840Updated 3 years ago
• kyle-dorman / bayesian-neural-network-blogpost
  Building a Bayesian deep learning classifier
  ☆491Updated 8 years ago
• atulshanbhag / Layerwise-Relevance-Propagation
  Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
  ☆98Updated 7 years ago
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆631Updated 4 months ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆596Updated 7 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆280Updated this week
• 1202kbs / Understanding-NN
  Tensorflow tutorial for various Deep Neural Network visualization techniques
  ☆346Updated 5 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆74Updated 3 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆672Updated 2 years ago
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆524Updated last week
• garydoranjr / misvm
  Multiple-Instance Support Vector Machines
  ☆246Updated 5 years ago
• mfbalin / Concrete-Autoencoders
  ☆121Updated 3 years ago