machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

machine_learning_basics

Plain python implementations of basic machine learning algorithms

macos-security-and-privacy-guide

Guide to securing and improving privacy on macOS

magenta

Magenta: Music and Art Generation with Machine Intelligence

magenta-js

Magenta.js: Music and Art Generation with Machine Learning in the browser

magenta-studio

Magenta Studio is a collection of music plugins built on Magenta’s open source tools and models

mal-inference

This is the MAL detection codes optimized for inference.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

markdown-portfolio

market-toolkit

A collection of stock market resources and tools

marlit

Image marine sea litter prediction Shiny

mathematics_dataset

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

matlab_tricks

mc_gradients

mcan-vqa

Deep Modular Co-Attention Networks for Visual Question Answering

mcw-cognitive-services-and-deep-learning

MCW Cognitive services and deep learning

mcw-machine-learning

MCW Machine Learning

media-eval-2020

MediaEval 2020: Music Mood Classification

medical-transcription-analysis

Medical Transcription Analysis (MTA) demonstrates how the integration of Amazon Comprehend Medical and Amazon Transcribe Medical can be used to transcribe audio data, extract key medical components and tag the data to their corresponding entities. Automating the medical transcription and comprehension process makes it easier for health care professionals to focus on patient care.

mephisto

A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.

merlot_reserve

Code release for "MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound"

mesh

Mesh TensorFlow: Model Parallelism Made Easier

mesh-transformer-jax

Model parallel transformers in JAX and Haiku

meta-dataset

A dataset of datasets for learning to learn from few examples

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

meta_learn_source_code

Code for "On-the-Fly Adaptation of Source Code Models using Meta-Learning"

metal

Snorkel MeTaL: A framework for training models with multi-task weak supervision

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

metropolis_sdk

A collection of code examples to help users get started with the Mapillary Metropolis dataset