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deep-learning-fundamentals

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balamarimuthu / deep-learning-with-pytorch

This repository contains a minimal PyTorch-based Transformer model implementation, designed for educational and research purposes. It demonstrates the core components of modern transformer architectures, including multi-head attention, positional encoding, and feed-forward layers, in a simple and well-structured format.

natural-language-processing transformers pytorch neural-networks deep-learning-fundamentals

Updated Aug 18, 2025
Jupyter Notebook

bsenurbas / nn-from-scratch

A fully tested and reproducible neural network framework built from scratch using NumPy.

machine-learning neural-network numpy backpropagation from-scratch deep-learning-fundamentals

Updated Feb 2, 2026
Python

eshagarwal / Machine_Learning_Algorithms_from_Scratch

Implementation of core machine learning algorithms from scratch with mathematical explanations and Python code.

python machine-learning gradient-descent cost-functions ml-from-scratch deep-learning-fundamentals

Updated Mar 4, 2025
Jupyter Notebook

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