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message-board

Message board, built with NextJS, a full stack React framework.

messaging-patterns-zeebe

Some examples of message exchange patterns implemented using BPMN and Zeebe

meteor-dapp-wallet

mhgov_search_service_captcha_solver

A simple tessaract OCR based captcha solver from the webiste https://freesearchigrservice.maharashtra.gov.in/

miceforest

Multiple Imputation with Random Forests in Python

micro-reddit

microfrontends

Micro-frontend Architecture in Action-微前端的那些事儿

mini-message-board

mini-message-board-1

A simple app created using node.js

minigo

An open-source implementation of the AlphaGoZero algorithm

minimal-movie-review

A movie review app that brings together simple,short and sweet reviews.

minimalmoviereviews

An ionic app to fetch short movie reviews from a configured firebase server.

minio

High Performance, Kubernetes Native Object Storage

minirest

A Mini RESTful API Framework

minishell

The 9th project at 1337.

minitalk

The purpose of this project is to code a small data exchange program using UNIX signals.

mirserver-delphi

传奇2服务器端源码, delphi版本

mirserver-netty

学习Netty, 仿制Mir2服务器端

miscfiles

https://www.youtube.com/watch?v=PPLop4L2eGk&list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN

mit-0

The "MIT No Attribution" (MIT-0) License

mjolnir-ats590

System configuration package for the sensor station built by the ATS 590 course

mjolnir-config-template

Template for the Mjolnir system configuration package to get started with a new system

mjolnir-presets

Device presets for the Mjolnir scientific IoT sensor system

mjolnir-website

A dynamic data-driven display of the latest monitoring, trigger and status data from the HAMMA network.

ml-agents

Unity Machine Learning Agents Toolkit

ml-agents-training-executables

This repo contains the Unity ML-Agents environments' executables for Windows, Mac and Linux

ml-notes-in-markdown

Machine learning notes that make your reading easy

ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

ml-workshop-advanced

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book