Linking pages
- GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome machine learning interpretability resources. https://github.com/jphall663/awesome-machine-learning-interpretability 0 comments
- GitHub - csinva/imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). https://github.com/csinva/imodels 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - csinva/imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). https://github.com/csinva/interpretability-implementations-demos 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/okulbilisim/awesome-datascience 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/bulutyazilim/awesome-datascience 0 comments
- GitHub - tmadl/sklearn-interpretable-tree: Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible) https://github.com/tmadl/sklearn-interpretable-tree 0 comments