Neural Networks: Building Blocks
Notes on the building blocks of deep learning, from perceptrons to gradient descent, including implementations of all methods in Numpy.
Locality-sensitive Hashing with Numpy Permalink
Numpy implementation of the SimHash and MinHash locality sensitive hash functions.
Non-linear Decision Surfaces Permalink
A notebook illustrating the effects of non-linearities on the decision surfaces of neural networks.
An Overview of Nearest Neighbors Search Permalink
A notebook on the nearest neighbors search problem and the algorithms and data structures developed to solve it.
Advent of Code 2021 Permalink
Solutions to the puzzles of Advent of Code 2021