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followers: 63.0 following: 29.0 repos: 34.0 gists: 0.0

Name: Maria Telenczuk

Type: User

Company: Owkin

Bio: Research Scientist @Owkin | @PyLadies Paris Organizer

Location: France

Hi there ☺️

My name is Maria.

I am a Research Scientist with extensive experience in neuroscience, research and Software Development and Data Science.

I am passionate about both: science and programming and I am sharing those passions through various channels (teaching, Native Scientist, Software Carpentry and of course Pyladies).

I am an organizer of Pyladies Paris, come and join us at one of the events: Pyladies Paris

💬 Ask me about Python, git, PhD, computational neuroscience, research or... a life of a foreigner in France

Drop me a note and connect with me: . :-)

Maria Telenczuk's Projects

2021-uj-python

workshop page for UJ Python workshop

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

accsgd

Implements pytorch code for the Accelerated SGD algorithm.

ais_lfp

data-science-workshop-2019

eeg

generates eeg data

fl_workshop

human

human-locomotion

RAMP starting kit on the human locomotion data set

kink_paper

lfp-aip

maikia

meg

source localisation of MEG signal

my-test-blog

neuroneap

numpy-demo

Numpy for beginners to use in jupyter lite

numpy_tutorial

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

pyladies-python

workshops prepared for Pyladies Paris events

python-novice-inflammation

Software Carpentry introduction to Python for novices using inflammation data.

ramp-board

RAMP packages: database, backend, frontend, utilities

ramp-workflow

Toolkit for building predictive workflows on the top of pandas and scikit-learn.

ramp_stroke

rtds-action

Interface ReadTheDocs and GitHub Actions

scikit-learn

scikit-learn: machine learning in Python

slurm_basics

use slurm batch jobs

spikesort-scripts

spw

stroke

strokeunet

UNET for the segmentation of the lesions in the MRI scans from stroke patients. Based on https://github.com/ellisdg/3DUnetCNN

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