README.md

AgainML - A Machine Learning And Deep Learning Library from Scratch

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In this repository, major machine learning and deep learning algorithms are implemented from scratch. From scratch meaning without using external machine learning libraries. All of the below mentioned algorithms are implemented in Python, Linear Regression is also implemented in C++. The API structure is similar to the Scikit-Learn library and Tensorflow Keras API.

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Installing AgainML with PyPI :

pip install AgainML

Algorithms:

Data Transformation:

1. MinMax Scaler
2. Standard Scaler

Supervised Learning:

1. Linear Regression
2. K-nearest Neighbours
3. Support Vector Machine
4. Artificial Neural Networks

Unsupervised Learning:

1. K-Means Clustering
2. Mean Shift Clustering

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Deep Learning:

Neural Networks added with ReLU, Softmax Activations and Categorical Cross Entropy losses, and Optimizers such as SGD, Adam.

To use this implementation:

pip install open-nn-python