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machine-learning-with-python

Python code for common Machine Learning Algorithms

machine_learning_examples

A collection of machine learning examples and tutorials.

magic-modules

Automatically generate Google Cloud Platform support for OSS IaaC Projects

maxskeleton-ibm

ml-mastery

Code from Jason Brownlee's course on mastering machine learning

ml-road

Machine Learning Resources, Practice and Research

ml-system-design-pattern

System design patterns for machine learning

ml_cheatsheet

A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

mlday-tokyo

Colabs for ML Day Tokyo

mlinterview

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

model-analysis

Model analysis tools for TensorFlow

models

Models and examples built with TensorFlow

modern-cpp-features

A cheatsheet of modern C++ language and library features.

modern-cpp-next

Modern C++ Next: Comprehensive Guide for C++20

mq-dev-patterns

Code samples and messaging patterns for IBM MQ developers

mq-rfhutil

Message creation, editing and replay to help test MQ and IIB/ACE applications. Previously released as IH03 RFHUTIL SupportPac

muduo

Event-driven network library for multi-threaded Linux server in C++11

multinode

This is to create multiple virtual machines using vagrant script

my-arsenal-of-aws-security-tools

List of open source tools for AWS security: defensive, offensive, auditing, DFIR, etc.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nicistore

Isomorphic React E-Commerce Storefront

nodebestpractices

The largest Node.JS best practices list (July 2018)

notebooks

Collection of notebooks

notes

Shuo's notes

notes-google-cloud-architect

Study Notes for the Google Cloud Architect Certification.

og-aws

📙 Amazon Web Services — a practical guide

old_pilot_repo

Deprecated home of Istio's Pilot, now in istio/istio's pilot dir

orchestration-workshop

overfeat

papers

Supplementary materials and source code for papers