serenidpity,github

machine-learning-and-pattern-recognition

Implementation of Machine Learning Algorithms

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

mathematical-tours.github.io

Site web of the Mathematical Tours

mcfly

A deep learning tool for time series classification

mcmcglmm

:exclamation: This is a read-only mirror of the CRAN R package repository. MCMCglmm — MCMC Generalised Linear Mixed Models

medn

Tissue Microstructure using a Deep Network

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml_course

EPFL Machine Learning Course, Fall 2018

mripy

A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions

multi-channel-speech-extraction-using-dnn

A tensorflow implementation of my paper Combining beamforming and deep neural networks for multi-channel speech extraction

multilabel-timeseries-classification-with-lstm

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

music-source-separation

Separating singing voice from music based on deep neural networks in Tensorflow

nba-prediction

Predict scores of NBA games using regularized matrix completion

neural-disaggregator

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.

neuralnilm

Deep Neural Networks Applied to Energy Disaggregation

nilearn

Machine learning for NeuroImaging in Python

nilm-eval

NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

nm4p

Programs for "Numerical Methods for Physics" by Alejandro Garcia

notebooks

IPython Notebook experiments

notes-on-dirichlet-processes

:game_die: Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

nowcoder

牛课网练习，主要包括leetcode,剑指offer，Cracking the Coding Interview，PAT，华为上机测试，算法课程学习，一些公司笔试题目等。

ntds_2016

Material for the EPFL master course "A Network Tour of Data Science", edition 2016.

numerical-tours

Numerical Tours of Signal Processing

openpnm

A Python package for performing pore network modeling of porous media

openpnm-examples

A collection of scripts illustrating the use of OpenPNM

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pisap

Python Interactive Sparse Astronomical and Magnetic Resonance Data Analysis Package

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

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