deeptimittal12 Goto Github PK
Name: Deepti Mittal
Type: User
Bio: Bioinformatics, Research Data Management (Neuroscience)
Deepti Mittal's Projects
academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
analysis-of-open-ephys-data
NWB format
bark
A timeseries data format
bioconda-recipes
Conda recipes for the bioconda channel.
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
datasciencecoursera
datasharing
The Leek group guide to data sharing
datatonwb
Code for converting data into NWB format
deeplabcut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals
deeptimittal12.github.io
Bioinformatics and Neuroscience Website
drosophilabrain
Master Thesis files
exp2nwb
Practical conversion of experimental neurophysiology data to the NWB format
franklab-nwb-hack
Frank Lab code demoing NWB development (e.g. at Hackathons)
go
The Open Source Data Science Masters
heidelberg-metadata-gui
Metadata editing GUI interface, with automatic metadata fetching
ibm-data-science-professional-certificate
There are 9 Courses in this Professional Certificate
machine-learning
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
mease-hpc-setup
mease-lab-to-nwb
najafi-2018-nwb
Conversion of Churchland's dataset to NWB 2.0 format
nwb-conversion-tools
Shared tools for converting data from various formats to NWB:N 2.0
nwb_hackathons
Repository for collecting materials from nwb hackathons
nwb_tutorial
NWB tutorials made for Cosyne 2020
nwb_tutorial-1
Jupyter notebook tutorial for the Neurodata Without Borders data format
nwbfiles
plugin-gui
Software for processing, recording, and visualizing multichannel electrophysiology data
pynwb-course
Interactive Python course for using the Neurodata Without Borders format
pyradiomics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
python-for-neuroscience
A workshop for teaching python to neuroscientists with some previous programming experience.
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