munnm / XAI-for-practitionersLinks
☆31Updated 3 years ago
Alternatives and similar repositories for XAI-for-practitioners
Users that are interested in XAI-for-practitioners are comparing it to the libraries listed below
Sorting:
- Applied Machine Learning Explainability Techniques, published by Packt☆248Updated this week
- ☆214Updated 4 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆105Updated 2 years ago
- Explainable AI with Python, published by Packt☆165Updated this week
- The notebooks used to demonstrate the blog post about Interpretability in ML☆12Updated 6 years ago
- Interpretable Machine Learning with Python, published by Packt☆475Updated this week
- An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…☆48Updated 5 months ago
- Prediction of hospital length-of-stay (LOS) at time of admission using gradient boosting☆41Updated 7 years ago
- Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"☆72Updated 3 years ago
- A tutorial about Machine Learning Interpretability☆17Updated 6 years ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 6 years ago
- A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evalu…☆198Updated 6 months ago
- ☆151Updated 4 years ago
- Tutorial on survival analysis using TensorFlow.☆47Updated 5 years ago
- Resources for Machine Learning Explainability☆87Updated last year
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 3 weeks ago
- Responsible AI knowledge base☆111Updated 2 years ago
- Applied Machine Learning with Python☆80Updated last year
- References to the Medium articles☆86Updated 3 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 6 years ago
- Experiments on Tabular Data Models☆279Updated 2 years ago
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated last year
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆50Updated 3 years ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆58Updated 4 years ago
- An open source automl library for using machine learning in healthcare.☆122Updated last year
- Example machine learning pipeline with MLflow and Hydra☆95Updated 2 years ago
- Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal☆15Updated 4 years ago
- The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …☆73Updated 2 years ago
- jupyter blog☆131Updated 2 years ago
- This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift☆30Updated 4 years ago