Malt - A minimalist deep learning toolkit🔗ℹ

Malt is a minimalist deep learning toolkit that is designed to support the book The Little Learner, by Daniel P. Friedman and Anurag Mendhekar.

The framework provides for tensors, automatic differentiation, gradient descent, commonly used loss functions, layer functions and neural network construction tools.

While it has started off as a pedagogical tool, it is designed with the future in mind and we are seeking fellow enthusiasts who would be interested in making it production worthy.