Alternatives and similar repositories for DeepAttentionModel

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

• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• nicodv / kmodes
  Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
  ☆1,287Updated last year
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,469Updated 2 weeks ago
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,415Updated 3 weeks ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆737Updated last week
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆650Updated last year
• statisticianinstilettos / recmetrics
  A library of metrics for evaluating recommender systems
  ☆581Updated last year
• fairlearn / fairlearn
  A Python package to assess and improve fairness of machine learning models.
  ☆2,161Updated 2 weeks ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,522Updated last week
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,597Updated 2 weeks ago
• scikit-learn-contrib / hdbscan
  A high performance implementation of HDBSCAN clustering.
  ☆3,026Updated 2 weeks ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆852Updated 9 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,773Updated 7 months ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,467Updated 4 months ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆953Updated last year
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,803Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,648Updated 7 months ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆678Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 10 months ago
• parrt / dtreeviz
  A python library for decision tree visualization and model interpretation.
  ☆3,106Updated this week
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,279Updated 2 years ago
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,490Updated 8 months ago
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆30Updated 3 years ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆931Updated this week
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,589Updated last month
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,512Updated this week
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,372Updated 2 weeks ago
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,166Updated last month
• arvkevi / kneed
  Knee point detection in Python
  ☆797Updated last month