Alternatives and similar repositories for Model-Interpretation

Users that are interested in Model-Interpretation are comparing it to the libraries listed below

• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆96Updated last year
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆80Updated 9 months ago
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆117Updated last year
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆135Updated 7 months ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆140Updated 2 years ago
• navefr / ExKMC
  Expanding Explainable K-Means Clustering
  ☆96Updated 2 years ago
• khirotaka / SAnD
  [Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models
  ☆47Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆176Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆145Updated 2 years ago
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆46Updated 2 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆185Updated 2 years ago
• shoaibahmed / TSViz-Core
  Code for the paper: "TSViz: Demystification of Deep Learning Models for Time-Series Analysis"
  ☆13Updated 6 years ago
• simsal0r / mixture-of-decision-trees
  Mixture of Decision Trees for Interpretable Machine Learning
  ☆11Updated 3 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆41Updated 3 years ago
• KulikDM / pythresh
  Outlier Detection Thresholding
  ☆133Updated last week
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆99Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆271Updated this week
• XAIseries / XCM
  XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification
  ☆49Updated 2 years ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆133Updated 4 months ago
• cerlymarco / keras-hypetune
  A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
  ☆61Updated 3 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• alok-ai-lab / pyDeepInsight
  A python implementation of the DeepInsight methodology.
  ☆170Updated this week
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆91Updated 3 years ago
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆116Updated last year
• ai-fast-track / timeseries
  Time Series package for fastai v2
  ☆95Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆107Updated 3 years ago