machine-learning-workflow-with-python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

machine_learning

Python coded examples and documentation of machine learning algorithms.

machinelearningcourse

A collection of notebooks of my Machine Learning class written in python 3

madewithml

Learn how to responsibly deliver value with ML.

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mastering-opencv-4-with-python

Mastering OpenCV 4 with Python, published by Packt

matplotlib_essentials

An Essential Graphic Primer of Matplotlib

membership-inference

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml_course

EPFL Machine Learning Course, Fall 2021

mlbookcamp-code

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

mlwpy_code

Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

mobile_based_smart_irrigation_assistant

The project is aimed at solving problems faced by farmers in irrigation scheduling and helping government monitor the use of its subsidized resources

modern-cpp-programming

Modern C++ Programming Course (C++11/14/17/20)

ms-dos

The original sources of MS-DOS 1.25 and 2.0, for reference purposes

mt-kahypar

Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel hypergraph partitioner equipped with parallel implementations of techniques employed in most sequential state-of-the-art hypergraph partitioners. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.

mysirr

MY SIRR, (Minimalist agro-hYdrologicalmodel for Sustainable IRRigation management- soil moisture and crop dynamics), is a quantitative tool to assess and compare agricultural enterprises across climates, soil types, crops, and irrigation strategies, accounting for the unpredictability of the hydro-climatic forcing.

ncov2019

Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China

networkanalysis

Java package that provides data structures and algorithms for network analysis.

networkx

Official NetworkX source code repository.

neural-doodle

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

neural-networks-and-deep-learning

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

nextjstutorial

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

numexpr

Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more

ocsinventory-server

Communication server of OCS Inventory

ods

Mission: To provide a high-quality open content data structures textbook that is both mathematically rigorous and provides complete implementations.