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ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-from-scratch

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.

ml-from-scratch-1

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

ml-notebook

Karma of Humans is AI

ml-recipes

A collection of stand-alone Python machine learning recipes

ml-server-python-samples

Advanced analytics samples and templates with Python for ML Server

ml-simple-works

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

ml-workshop-2-of-4

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

ml-workshop-4-of-4

Advanced Machine Learning with Scikit-learn part II

mlads2018-quantumml

Introduction to Quantum Machine Learning tutorial: Building a quantum perceptron using Microsoft Quantum Development Kit

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlbook

Case study for the chapter "Machine Learning: An Overview" in the book "Quantum Chemistry in the Age of Machine Learning".

mlbox

MLBox is a powerful Automated Machine Learning python library.

mlcourse.ai

Open Machine Learning Course

mlflow

Open source platform for the machine learning lifecycle

mlflow-apps

MLflow App Library

mlflow-example

An example MLflow project

mlflow-torchserve

Plugin for deploying MLflow models to TorchServe

mlhyperparametertuning

Example of using HyperDrive to tune a regular ML learner.

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

mljs

Machine learning tools in JavaScript

mlops

MLOps examples

mlopspython

MLOps using Azure ML Services and Azure DevOps

mlopstemplate

Providing tools and templates to facilitate modern MLOps practices

mlos

MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.

mlspace

MLSpace: Hassle-free machine learning & deep learning development

mlviz

Visualizations of machine learning models and algorithms