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:

1. Contributing by fixing existing issues.
2. Submitting a better layer design or algorithm than the existing one.
3. 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