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musicmappr

Find patterns in your favorite songs and remix them on the fly!

mutar

Multi-task regression in Python

mutual-information-dimension

MID (Mutual Information Dimension) for measuring statistical dependence between two random variables (Sugiyama and Borgwardt, IJCAI 2013) http://goo.gl/ToVGJq

mutual_info

Putting GaelVaroquaux's mutual_info gist in a project until it has a better home.

muxviz

Analysis and Visualization of Interconnected Multilayer Networks

mvkdr

Multi-view Spectral Clustering on Conflicting Views

mvpr

Code for multi-variable polynomial regression

mvtv

Maximum-variance total variation denoising

mxfusion

Modular Probabilistic Programming on MXNet

myregression-python

This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).

mystic

highly-constrained non-convex optimization and uncertainty quantification

n-beats

n-beats-1

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

namedtensor

Proof of concept for a dynamic named tensor for pytorch

nameko

Python framework for building microservices

nameko-example

Code for example in this post: http://brunorocha.org/python/microservices-with-python-rabbitmq-and-nameko.html

nandnotebooks

Jupyter notebooks with some NAND code

narmaxlasso.jl

Algorithms for Lasso estimation of NARMAX models.

narrative-modeling

Narrative Modeling with Memory Chains and Semantic Supervision, published at ACL 2018

nasdaq-itch-parser

nate

Research at the intersection of natural language processing and social network analysis.

natural-language-processing

nbeatsx

nctpy

Network Community Toolbox in Python

ncvreg

Regularization paths for SCAD- and MCP-penalized regression models

ncvx

nd-pyomo-cookbook

A repository of Pyomo examples.

ndlib

Network Diffusion Library - (for NetworkX and iGraph)

neo-ai-dlr

Neo AI is a compiler and runtime for machine learning models. The compiler optimizes machine learning models for various target hardware. The runtime executes the model on the target hardware.

neo-ai-treelite

Treelite is a compiler and runtime for machine learning models. neo-ai-treelite hosts an Amazon-forked version of Treelite that neo-DLR is based on.