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mercurylifesaver

An intelligent IOT application based on car sensor data that provides instant relief and help during a crash or emergency. It introduces a new revolution that collaborates insurance companies, hospitals, first responders and the victim through webRTC video conferencing. The app also does analysis and social media sharing based on SMAC(Social Mobile Analytics Cloud) technology . In addition, it facilitates real time communication to minimize insurance fraud and maximize instant relief service which will foster human safety. Another add on feature is that the entire video conference is recorded and upload the video to cloud so that Insurance (claim adjuster) or any other organization can look at the entire incident of accident later on.

mergevec

Program used to merge .vec files for use in openCV's opencv_traincascade

messing_deep_ir

Messing with extracting deep representations for retrieval

meta-learning-adjusting-priors

Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018

meta-learning-adjusting-priors2

Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018

meta-lpam_plus

meta4data

While working with data it often happens that one requires general information about the dataset (e.g. size, distribution of datapoints, source, licence information, list of key features etc). The goal of this project is to enrich raw meta-data with all such extra information

metaanalysis

Scripts for meta analysis of gathered dataset in CBC group in UPF. This work will be continued as a masters thesis.

metaflow-as-prefect-task

Prefect Task Class to run flows from Metaflow as part of a Prefect DAG

metaflow-helper

Convenience utilities for common machine learning tasks on Metaflow

metafs

The feature selection methods for metabolomics

metaheuristic_algorithms_python

Various metaheuristic algorithms implemented in Python.

metaheuristics

Automatically exported from code.google.com/p/metaheuristics

metaheuristicsisipc

Metaheuristic

metautil

MetaUtil: Meta Learning for Utility Maximization in Regression Tasks

metric-learn

Metric learning algorithms in Python

metric-learning-for-regression

Applying metric learning to kin8nm

metropolis-hastings-random-walk-and-re-weighted-random-walk

a miniproject submitted from a Master course (ID2220 Advanced Topic in Distributed Computing). The goal is to perform Metropolis-Hastings random walk (MHRW) and re-weighted random walk (RWRW) on an offline Gnutella dataset.

mfcc_sid_rev1

Feature extraction project for quick SID experiments.

mgcodesandstats.github.io

mgig

An efficient feature selection algorithm for text classification

mhealthx

mhealthx is a software pipeline that automates feature extraction from mobile health data saved as a Synapse project (synapse.org).

mhmm

Code for modeling multivariate response longitudinal data with mixed effects under a hidden Markov model (HMM)

mhtm

math hierarchical temporal memory

mia-scala-examples

Mahout Examples

miadx

mini DSP + ADX + SSP implementations in Scala

micro-cluster-nearest-neighbour-mc-nn-algorithm

micro-insurance

micro-insurance-1

micropython

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems