Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
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

CPU Faiss Intel SVS ‐ Overview

SVS Vamana — Combines the Vamana graph-based search algorithm, introduced by Subramanya et al., with Intel's LVQ and LeanVec compression. It uses a single-layer proximity graph (vs. HNSW’s multi-layer ...
GitHub

Vector Search using Embeddings, FAISS and Product Quantization

This project implements an efficient similarity search system for lecture content using embeddings, FAISS and Product Quantization with custom index & KMeans implementations. It allows you to find ...