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machine-learning---multivariable-regression

Systolic Blood Pressure level based on PPG signal's parameteres

machine-learning-interview-qa

人工智能-机器学习笔试面试题解析

mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

meta-rppg

Implementation of "Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner"

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mimic-iii-paper

Repository for the paper describing MIMIC-III

mimic-preprocess

MIMIC preprocessing for the ICML paper "Dynamic Measurement Scheduling for Event Forecasting Using Deep RL"

mimic3-benchmarks

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

mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

mimic_iii

Assortment of work related to the MIMIC-III Database. Including data processing and machine learning.

mixmatch

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

mlhc2018_sequencetransformernetworks

Code release for "Learning to Exploit Invariances in Clinical Time-Series Data Using Sequence Transformer Networks" (Oh, Wang, Wiens), MLHC 2018. https://arxiv.org/abs/1808.06725

mobilenetv3-tf

Tensorflow implementation for two new MobileNetV3 models!

mtd2l

Multi-task distribution learning for BP estimation

mtrl-auto-uav

Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

mtw

Wasserstein regularization for sparse multi-task regression

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

multitask-learning

Multitask Learning Resources

mutar

Multi-task regression in Python

netron

Visualizer for neural network, deep learning and machine learning models

neurobench

Benchmark of derivative-free optimization algorithms applied to models in cognitive and neural science.

nice-klms-qklms

An implementation to "Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm" with additional work on blood pressure prediction.

nlp-1dcnn

assignment 1

nr2-ufpr-ppg-dataset

PPG dataset

online-learning

online-recurrent-extreme-learning-machine

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

opencv_learn

oscillometric-blood-pressure

2016 finnal project