From Scratch

This repository contains my implementation of different elements in AI using PyTorch from scratch (as much as possible).

Currently working on activation functions and machine learning models

Project Structure

Type	Implementation	Description	Status
Activation Functions	ReLU	ReLU activation function implementation	✅
Activation Functions	Sigmoid	Sigmoid activation function implementation	✅
Models	ML/GaussianNaiveBayes.py	Gaussian Naive Bayes model implementation	✅
Models	ML/KNearestNeighbors.py	KKN model implementation	✅
Models	ML/LinearRegression.py	Linear regression model implementation	✅
Models	ML/LogisticsRegression.py	Logistic regression model implementation	⏳
Models	ML/KMeanClustering.py	K-Means Clustering model implementation	⏳

Tribute

I would like to acknowledge the following sources for their invaluable tutorials and lessons that have greatly contributed to my understanding and implementation of AI:

• oniani/ai
• StatQuest with Josh Starmer

License

This project is licensed under the MIT License - see the LICENSE file for details.