Lightweight Autograd Engine in Python

My personal homepage.

Implementation of the vision transformer architecture in PyTorch

Developing the transformer modules and functions for Compyute

Python deep learning library focused on transparency and readability

Tokenizers is a collection of tokenization implementations focused on transparency and readability

Framework built from scratch to explore neural networks and backpropagation

Simulation of the Swarmalator Model and exploring methodes to achieve faster convergence using an additive momentum term

building my own Data Science library, currently includes kMeans++ clustering, cluster-plotting, wcss cluster evaluation