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DLC2Action is an action segmentation package that makes running and tracking of machine learning experiments easy.
DLClibrary is a lightweight library supporting universal functions for the DeepLabCut ecosystem.
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
🐕 Fun experiment to train a pose estimation model for dogs using the DeepLabCut toolkit
NiceWebRL is a Python library for quickly making human subject experiments that leverage machine reinforcement learning environments.
EPFL-Smart-Kitchen-30 dataset is a multi-view action dataset with synchronized exocentric, egocentric, depth, IMUs, eye gaze, body and hand kinematics spanning 29.7 hours of 16 subjects cooking fou…
The official implementation of the paper "Reinforcement Learning-Based Motion Imitation for Physiologically Plausible Musculoskeletal Motor Control"
CEBRA Demo Notebooks. Please see all of them at the URL below:
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
supporting code and models for Gilbert, Glastad et al.
hsirm / FITYMI
Forked from rohban-lab/FITYMIFake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models
Automated quality control, curation and neuron classification of spike-sorted electrophysiology data. Available in MATLAB and in Python.
A lifting transformer used to generate 3D DeepLabCut estimates for an adult mouse forelimb
[Neuron 2024] Analysis of Baoding ball policy from MyoChallenge at NeurIPS 2022
[ECCV 2024] "Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders"
Figures for the CellSeg3d manuscript
Analysis of DLC results of different climbing lizard species
A fork to optimize interval matching in the bootstrap case; also extends to data with arbitrary (precomputed) distance metrics.
OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁🧠🔬🖥️📈
Real-time analysis of intracranial neurophysiology recordings.