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metrics

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

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

mindpark

Testbed for deep reinforcement learning

minepy

minepy - Maximal Information-based Nonparametric Exploration

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

minpy

NumPy interface with mixed backend execution

ml

machine learning

mlbox

MLBox is a powerful Automated Machine Learning python library.

mlens

ML-Ensemble – high performance ensemble learning

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mmdetection

Open MMLab Detection Toolbox

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mobilefacenet_tf

Tensorflow implementation for MobileFaceNet

modeldb

A system to manage machine learning models

models

Models and examples built with TensorFlow

models-1

A collection of pre-trained, state-of-the-art models in the ONNX format

modin

Modin: Speed up your Pandas workflows by changing a single line of code

ms-sql-codes

multi-task-dictionary-learning

We formulate an unsupervised framework for multi-task sparse feature learning based on a novel dictionary learning algorithm. To solve the unsupervised learning problem, we propose a two-stage Multi-Source Multi-Target Dictionary Learning (MMDL) algorithm. In stage 1, we propose a multi-source dictionary learning method to utilize the common and individual sparse features in different time slots. In stage 2, supported by a rigorous theoretical analysis, we develop a multi-task learning method to solve the missing label problem.

multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

mxnet

An efficient and flexible distributed framework for deep learning

naivebayesspamfilter

:email: 利用朴素贝叶斯算法实现垃圾邮件的过滤，并结合Adaboost改进该算法

natural-q-learning

nelder-mead

Pure Python/Numpy implementation of the Nelder-Mead algorithm.

neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

neural-network-genetic-algorithm

Evolving a neural network with a genetic algorithm.

neural-network-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

neural-structured-learning

Training neural models with structured signals.

neural-style

Neural style in TensorFlow! :art: