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@DeepLabCut

DeepLabCut

EPFL

DeepLabCut is collaboratively developed in the Mathis Lab and Mathis Group at EPFL.

  • We are delighted so many life science laboratories use DeepLabCut (as of Feb. 2021, >190K downloads and cited in over 800 publications in its short 2.5 year life span!).

www.deeplabcut.org

  • With your support, we aim to maintain and build this project in academia, to keep it free and fully open source. The funding helps cover: a full time programmer, funds for workshops/online courses such as DLCcourse.deeplabcut.org, documentation/tutorials, and GPU computing hardware time to make it even better in the years to come!

We are grateful for your support! If you have any questions for the core-developers, please reach out: admin@deeplabcut.org ❤️

4 sponsors have funded DeepLabCut’s work.

@DeepLabCut

We aim to keep DLC thriving and provide state-of-the-art performance for our users! To help us maintain a full-time developer, please consider donating! We truly appreciate it!

Private Sponsor
@rejunity
Private Sponsor
@msarvestani

Meet the team

Featured work

  1. DeepLabCut/DeepLabCut

    Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

    Python 4,333
  2. DeepLabCut/DeepLabCut-Workshop-Materials

    Workshop material for using DeepLabCut

    Jupyter Notebook 136
  3. DeepLabCut/DeepLabCut-live-GUI

    GUI to run DeepLabCut on live video feed

    Python 52
  4. DeepLabCut/DeepLabCut-live

    SDK for running DeepLabCut on a live video stream

    Python 177

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