AlbiruniML is a linear algebra and machine learning library written in pure C#, inspired by TensorFlow and TensorFlow.js, currently supporting only CPU operations.
The library enables operations such as NDArray and Tensor manipulations, automatic differentiation, and importing many TensorFlow models, aiming to make machine learning more accessible.
AlbiruniML uses a tensor data structure as its core for computations, similar to TensorFlow, allowing for generalizations beyond basic arrays to high-dimensional data.
To implement logistic regression, users can define variables and utilize a stochastic gradient descent optimizer, focusing on numerical estimates of loss through training.
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