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mining-the-social-web-3rd-edition

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

missing-pixel-filler

missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.

mit18.s191-graphslecture

mitx6001

MITx 6.00.1xIntroduction to Computer Science and Programming Using Python

ml-ai-experiments

All my experiments with AI and ML

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

ml-flow-ds-project

mirror from gitlab

ml-for-beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

ml-foundations

Machine Learning Foundations: 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-hub

🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.

ml-on-gcp

Machine Learning on Google Cloud Platform

ml-papers-explained

Explanation to key concepts in ML

ml-tutorial

Introduction to ML packages for the 6.86x course

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

ml4a-guides

practical guides, tutorials, and code samples for ml4a

ml4a-ofx

A collection of openFrameworks apps for working with machine learning

ml4floods

An ecosystem of data, models and code pipelines to tackle flooding with ML

ml5-library

Friendly machine learning for the web! 🤖

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlcourse.ai

Open Machine Learning Course

mlh-python-web-scraping

Repo for MLH workshop held on 7th December by Sahith

mlontheedgecodeproject

The overall purpose of this document is to showcase an example of Azure Machine Learning on IoT Edge Devices using Microsoft Embedded Learning Library (ELL)

mlops

mlops-basics

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmfewshot

OpenMMLab FewShot Learning Toolbox and Benchmark

mobilenet-v2

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

modelbattle

Evaluate your models with A/B test experiments