12 results found Sort:

pytorch
captum pytorch
499
5.0k
bsd-3-clause
274
Model interpretability and understanding for PyTorch
interpretability interpretable-ai interpretable-ml feature-importance feature-attribution
Created 2019-08-27
1,211 commits to master branch, last one 11 days ago
EthicalML
xai EthicalML
174
1.1k
mit
44
XAI - An eXplainability toolbox for machine learning
ai ml xai bias imbalance evaluation upsampling xai-library downsampling explainability explainable-ai explainable-ml bias-evaluation interpretability machine-learning feature-importance artificial-intelligence machine-learning-explainability
Created 2019-01-11
91 commits to master branch, last one 3 years ago
aerdem4
lofo-importance aerdem4
85
817
mit
13
Leave One Feature Out Importance
data-science explainable-ai machine-learning feature-selection feature-importance
Created 2019-01-14
32 commits to master branch, last one 10 months ago
kochlisGit
ProphitBet-Soccer-Bets-Predictor kochlisGit
122
341
mit
22
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) m...
optuna soccer seaborn statistics predictions football-data random-forest neural-network soccer-betting soccer-matches upcoming-games feature-analysis imbalanced-learn pandas-dataframe data-visualization feature-importance imbalanced-learning deep-neural-networks interpretability-methods machine-learning-algorithms
Created 2022-03-18
237 commits to main branch, last one about a month ago
dominance-analysis
dominance-analysis dominance-analysis
57
154
mit
20
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal...
r-square dominance predictor keydrivers shapley-value pseudo-r-square feature-selection regression-models dominance-analysis feature-importance feature-engineering logistic-regression multiple-regression relative-importance classification-model dominance-statistics predictor-importance
Created 2018-12-05
515 commits to master branch, last one about a year ago
archd3sai
Predictive-Maintenance-of-Aircraft-Engine archd3sai
45
133
unknown
2
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
cnn-keras regression classification rul-prediction feature-importance lstm-neural-networks predictive-maintenance similarity-based-model exponential-degradation
Created 2019-05-07
50 commits to master branch, last one 2 years ago
laura-rieger
deep-explanation-penalization laura-rieger
14
128
mit
9
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
ai ml cdep python pytorch fairness fairness-ml data-science deep-learning explainability explainable-ai neural-network interpretability jupyter-notebook machine-learning feature-importance artificial-intelligence recurrent-neural-network interpretable-deep-learning convolutional-neural-network
Created 2019-02-12
89 commits to master branch, last one 3 years ago
csinva
hierarchical-dnn-interpretations csinva
22
126
mit
9
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
ai ml acd iclr python pytorch statistics data-science deep-learning explainability explainable-ai interpretation neural-network interpretability jupyter-notebook machine-learning feature-importance deep-neural-networks artificial-intelligence convolutional-neural-networks
Created 2018-05-18
60 commits to master branch, last one 3 years ago
sylvaticus
BetaML.jl sylvaticus
14
94
mit
6
Beta Machine Learning Toolkit
ai ml pca julia clustering imputation regression autoencoder data-science deep-learning random-forest classification decision-trees neural-networks machine-learning feature-importance artificial-intelligence
Created 2020-04-08
650 commits to master branch, last one 25 days ago
nredell
ShapML.jl nredell
7
88
mit
4
A Julia package for interpretable machine learning with stochastic Shapley values
iml shap julia shapley shapley-value feature-importance stochastic-shapley-values interpretable-machine-learning
Created 2020-01-23
118 commits to master branch, last one 2 years ago
YousefGh
kmeans-feature-importance YousefGh
21
64
mit
2
Adding feature_importances_ property to sklearn.cluster.KMeans class
k-means interpretability feature-importance keyword-extraction
Created 2021-07-17
22 commits to kmeans-feature-importance-v01 branch, last one about a year ago
AliAmini93
Telecom-Churn-Analysis AliAmini93
4
17
unknown
1
Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights...
shap xgboost datascience churn-prediction machine-learning feature-importance model-optimization feature-engineering business-intelligence
Created 2024-08-12
16 commits to main branch, last one 3 months ago