Data Science in Astronomy: Neural networks 101
- Research Notes
- Proximal matrix factorization in pytorch
- Data Science in Astronomy: pyTorch introduction
- Data Science in Astronomy: Classification Theory
- Data Science in Astronomy: Clustering
- Data Science in Astronomy: Introduction and scikit-learn
- The magic of proximal operators
- Gaussian mixture models for Astronomy
- Map projections for wide-field surveys
- Four massive clusters from DES SV data