Explore live open-source projects and AI models.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Machine Learning algorithm implementations from scratch.

Machine Learning algorithms implemented from scratch

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Implementing machine learning algorithms from scratch.

This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.

using Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) datas... Read more

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.