ecatherina
Researcher at Computational Imaging group, Skoltech
Skolkovo Institute of Science and TechnologyMoscow, Russia
ecatherina's Stars
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Yorko/mlcourse.ai
Open Machine Learning Course
gto76/python-cheatsheet
Comprehensive Python Cheatsheet
stas-sl/yandex-blitz-ml-2018
My solutions of Yandex.Blitz (Yandex Cup) Machine Learning Track 2018
olegrgv/ml-msc-template
Machine learning project template originally prepared for students
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
yruffiner/ecg-classification
cviaai/BIA-course
A course in biomedical image analytics by Prof. Dmitry V. Dylov
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
hfawaz/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
PIA-Group/BioSPPy
Biosignal Processing in Python
paulvangentcom/heartrate_analysis_python
Python Heart Rate Analysis Package, for both PPG and ECG signals
antonior92/automatic-ecg-diagnosis
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".
cviaai/VEINCV-RL
Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning
neuropsychology/NeuroKit
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
amitness/learning
A log of things I'm learning
hsd1503/MINA
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019
hsd1503/DL-ECG-Review
A Review of Deep Learning Methods on ECG Data
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
fernandoandreotti/cinc-challenge2017
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
hfawaz/dl-4-tsc
Deep Learning for Time Series Classification
cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
mondejar/ecg-classification
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
physhik/ecg-mit-bih
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
awni/ecg
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
AndreyAkinshin/Russian-Phd-LaTeX-Dissertation-Template
LaTeX-template for russian Phd thesis
RedditSota/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
NikitaChizhov/deep_kalman_filter_for_BM