Scratch-AI

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✨ The Scratch-AI is a repository with different algorithms of Machine Learning & Deep Learning implemented from scratch.

🗄 The main motto behind this repository is to grasp the mathematical aspect and intuition of different AI algorithms.

🤖 AI is being used everywhere nowadays, but people don't know about implementation of complex mathematical functions behind the scene.

Table of Contents

• ScratchAI

* Machine Learning Algorithms * Decision Trees * KNN * K-Means * Linear Regression * Logistic Regression * Multiple Linear Regression * Polynomial Regression * Principal Component Analysis * SVM * Deep Learning Algorithms * Adam Optimizer * Convolutional Neural Network * Single Layer Perceptron * Multi Layer Perceptron * Word2Vec * Contributions * Maintainers

Contributions

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We welcome all kinds of contributions from the open-source community, individuals and partners. We owe our success to your active involvement.

Contributors can contribute to the project in the following ways:

• Contributing by fixing existing issues.
• Submitting a better layer design or algorithm than the existing one.
• Submitting new layer design or algorithm.

NOTE: For detailed instructions refer to CONTRIBUTING.md

Maintainers

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| | | | | :---: | :---: | :---: | | Mayuresh Agashe| Vishesh Tripathi| Hemanth Sai| | | | |