| approxposterior: Approximate Posterior Distributions in Python. | 0 | 0.34 | 2018 |
| From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. | 1 | 0.48 | 2018 |
| Altair: Interactive Statistical Visualizations for Python. | 0 | 0.34 | 2018 |
| Hack Weeks As A Model For Data Science Education And Collaboration | 3 | 0.39 | 2017 |
| Megaman: Scalable Manifold Learning in Python. | 1 | 0.35 | 2016 |
| megaman: Manifold Learning with Millions of points. | 3 | 0.52 | 2016 |
| mst_clustering: Clustering via Euclidean Minimum Spanning Trees. | 0 | 0.34 | 2016 |
| A demonstration of iterative parallel array processing in support of telescope image analysis | 4 | 0.63 | 2013 |
| API design for machine learning software: experiences from the scikit-learn project. | 96 | 4.34 | 2013 |
| A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis. | 0 | 0.34 | 2013 |
| Squeezing a Big Orange into Little Boxes: The AscotDB System for Parallel Processing of Data on a Sphere. | 6 | 0.44 | 2013 |
| Introduction to astroML: Machine learning for astrophysics | 4 | 0.76 | 2012 |
| Hierarchical Probabilistic Models for Group Anomaly Detection. | 19 | 0.92 | 2011 |
| Scikit-learn: Machine Learning in Python | 3842 | 157.21 | 2011 |
| Hierarchical Probabilistic Models for Group Anomaly Detection | 0 | 0.34 | 2011 |
