Entropy Blog
2024
Efficiency Metrics in Machine Learning
In the world of machine learning, efficiency is a buzzword we hear all the time. New methods or models often come with the claim of being more efficient than...
Flops with Pytorch built-in flops counter
It is becoming more and more common to use FLOPs (floating point operations per second) to measure the computational cost of deep learning models. For Pytorc...
Adaptive Computation Modules
This brief post summarizes a project I have been working on over the past months. You can find further details about this work here
2023
Manifold learning
I stumbled across this concept a lot of times, so here I am writing a brief recap to myself.
Explainability for Graphs with Pytorch Geometric and Captum
In this Colab Notebook we show how to use explainability methods on Graph Neural Networks.
Entropy and Self Information
This post contains short notes on entropy and self information and why machine learning adopted them from information theory.
Outliers, and how to deal with them
An introductory Colab notebook showing how to deal with outliers in simple Machine Learning tasks.
A Primer on Graph Neural Networks with Pytorch Geometric
In this Colab Notebook we show how to train a simple Graph Neural Network on the MUTAG dataset.