Deep Learning with Yacine on MSN

Backpropagation with automatic differentiation from scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...
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

Kalman and Bayesian Filters in Python

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...
IEEE

Research of Classification System Based on Naive Bayes and MetaClass

Abstract: Considering the problem that image defect's fineness, complex shape, difficultly to extract feature, and easily effected by noise on PCB products machine vision inspection system, the paper ...
GitHub

PyRenew: A Package for Bayesian Renewal Modeling with JAX and NumPyro.

The PyRenew package is a flexible tool for simulation and statistical inference of epidemiological models, emphasizing renewal models. Built on top of the numpyro Python library, pyrenew provides core ...