This repository implements a vector search solution based on image and text embeddings. Users can search for similar products using an image or a textual description.
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Updated
Dec 11, 2024 - Python
This repository implements a vector search solution based on image and text embeddings. Users can search for similar products using an image or a textual description.
A brand new programming language designed for developers with diverse coding interests!
Write the K Nearest Neighbors classifier from scratch in Python. Test it on email spam classification dataset.
Disclaimer: The content of the repository is based on the tutorial made by Thibault Polge. My goal is just to learn more about Git. Every implementation was done NOT just by copying and pasting, but by trying to understand each line and each command that was being typed.
Over 4 weeks, I manually developed a fully connected neural network using only NumPy—without any ML frameworks. It uses Xavier and He initialization, Leaky ReLU activation, L2 regularization, and learning rate decay. The model achieves up to 91% test accuracy and visualizes training, validation, and test losses for early stopping and evaluation.
neural network from scratch with mnist dataset
Machine learning algorithms implemented from scratch
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