Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
GitHub

astral-sh/python-build-standalone

This project produces standalone, highly-redistributable builds of Python. See the docs in docs/ or online at https://gregoryszorc.com/docs/python-build-standalone/main/.
GitHub

data load tool (dlt) — the open-source Python library that automates all your tedious data loading tasks

dlt supports Python 3.9 through Python 3.14. Note that some optional extras are not yet available for Python 3.14, so support for this version is considered experimental. dlt is an open-source Python ...
IEEE

Distributed Optimization Methods for Multi-Robot Systems: Part 1—A Tutorial [Tutorial]

Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...
IEEE

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks

Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...