Pinned Repositories
asoid-benchmark
benchmark plots for asoid vs deepethogram and simba
B-SOID
Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
BehaveTrack
BehaveTrack uses user-specific B-SOiD classifier to predict behavior based on pose. Generate ethogram and summary statistics for animal recordings. Intuitive interface for tagging and grouping files. Enhance animal behavior studies with accurate and reliable predictions.
bsoid_figs
python script to generate manuscript figures
ks3-to-otherformat
converting kilosort3 + phy2 sorted neural data into other readable formats
lupe-bsoid-cloud
LUPE X B-SOiD is a no code website for behavior analysis that allows users to predict and analyze behavior using 2D pose estimation. Its customized naming system fits experimental contexts, while detailed analysis and reactive visualization design help identify trends. Downloadable CSV files make integration with existing workflows easy.
neural_gpfa
graphical user interface for gpfa
semi-supervised-ASL
UI for semi-supervised ASL
A-SOID
An active learning platform for expert-guided, data efficient discovery of behavior.
B-SOID
Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
runninghsus's Repositories
runninghsus/bsoid_figs
python script to generate manuscript figures
runninghsus/lupe-bsoid-cloud
LUPE X B-SOiD is a no code website for behavior analysis that allows users to predict and analyze behavior using 2D pose estimation. Its customized naming system fits experimental contexts, while detailed analysis and reactive visualization design help identify trends. Downloadable CSV files make integration with existing workflows easy.
runninghsus/asoid-benchmark
benchmark plots for asoid vs deepethogram and simba
runninghsus/BehaveTrack
BehaveTrack uses user-specific B-SOiD classifier to predict behavior based on pose. Generate ethogram and summary statistics for animal recordings. Intuitive interface for tagging and grouping files. Enhance animal behavior studies with accurate and reliable predictions.
runninghsus/ks3-to-otherformat
converting kilosort3 + phy2 sorted neural data into other readable formats
runninghsus/neural_gpfa
graphical user interface for gpfa
runninghsus/semi-supervised-ASL
UI for semi-supervised ASL
runninghsus/B-SOID
Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
runninghsus/bsoid-doc
B-SOiD documentation
runninghsus/bsoid-kinematics
seal lab collaboration
runninghsus/closed-loop-analysis
analysis repo for closed-loop stim
runninghsus/data-org
Yttri-Lab data structure on 16TB hard-drive
runninghsus/dlc_protocol
Instructions for using deeplabcut v2.1.7 on a cluster (specifically Bridges GPU-AI node at PSC)
runninghsus/Extra-Streamlit-Components
An all in one place, to find complex or just not available components by default on streamlit.
runninghsus/facemap-analysis
h5 analysis facemap
runninghsus/largescale_neurobehavioral
repository to analyze long-term neurobehavioral correlates in homecage
runninghsus/realtime-asoid
demo to test run realtime arduino trigger for asoid classifier
runninghsus/realtime-stim-protocol
protocol for new Yttri-ers doing closed-loop stim
runninghsus/runninghsus.github.io
Alex's Website
runninghsus/sleap
A deep learning framework for multi-animal pose tracking.
runninghsus/speechtherap-ai
utilize speech recognition to train human speech
runninghsus/yttri-ephys-protocol
Yttri Lab ephys analysis protocol