Highlights
- Pro
Starred repositories
[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
OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience ππ§ π¬π₯οΈπ
Real-time analysis of intracranial neurophysiology recordings.
A napari plugin for direct 3D cell segmentation -- taking you through training, inference, and review of masks
[CVPR 2024] HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
Next-gen fast plotting library running on WGPU using the pygfx rendering engine
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
Simple vispy-based frame-by-frame behavior annotation GUI. Also can display DeepLabCut poses within videos during annotation.
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
SuperAnimal models supporting data
[ICCV 2023] "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity"
We turn natural language descriptions of behaviors into machine-executable code
Coding course materials for Brain-like computation and intelligence
Dimensionality Reduction with Eilenberg-MacLane Coordinates
DLC2Action is an action segmentation package that makes running and tracking of machine learning experiments easy.
Papers from the intersection of deep learning and neuroscience
[NeurIPS 2022] DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
π Example Python project using best practices π₯
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans