SetGeL's starred repositories
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Microsoft-Activation-Scripts
A Windows and Office activator using HWID / Ohook / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.
HeadsetControl
Sidetone and Battery status for Logitech G930, G533, G633, G933 SteelSeries Arctis 7/PRO 2019 and Corsair VOID (Pro) in Linux and MacOSX
conventionalcommits.org
The conventional commits specification
NeuroPyxels
NeuroPyxels (npyx) is a python library built for electrophysiologists using Neuropixels electrodes. This package stems from the need of a pythonist who really did not want to transition to MATLAB to work with Neuropixels: it features a suite of core utility functions for loading, processing and plotting Neuropixels data.
mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
spikebench
spikebench is an open spike train time-series classification benchmark
course-content
NMA Computational Neuroscience course
python-neo
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
zotero-scihub
A plugin that will automatically download PDFs of zotero items from sci-hub
perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
FMAToolbox
The Freely Moving Animal (FMA) Toolbox is a Matlab toolbox. Its purpose is to help analyze electrophysiological and behavioral data recorded from freely moving animals.
dynamics-in-neuro-reading-list
This reading list is centered around the practical application of linear dynamical systems models to predict neural data
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
protein_generator
Joint sequence and structure generation with RoseTTAFold sequence space diffusion
papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning