Abstract types and methods for Gaussian Processes.

Graph visualization for Julia.

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

Utilities and abstractions for Machine Learning tasks

Latex code for making neural networks diagrams

Tensors and Dynamic neural networks in Python with strong GPU acceleration