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Introduction

The aim of this article is to write down and describe my effort to dive into pruning methods for neural networks. It reflects the knowledge I gained and which I share for a discussion. It is not a tutorial or a teaching material: I am in the process of discovering this field myself.

Key takeaways

What I discovered is that on one hand there is an active research in the field. On the other hand, doing pruning in practice is not a well-established field. There are methods that implement pruning in PyTorch, but they do not lead to faster inference time or…


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Photo by Laura Chouette on Unsplash

Introduction

In this article I describe how one can set up a continuous integration / continuous delivery (CI/CD) pipeline using GitHub.

This text is inspired by two sources. First one is “Nine simple steps for better-looking python code” by Vladimir Iglovikov. He gives the keys to better coding practices with CI/CD systems as its core. It is a great article and I wrote mine following the steps outlined there. So, “A practical guide for better-looking python code” is an accompanying/practical guide to Vladimir’s text. …

Oleg Polivin

Data Scientist

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