Mathis Lab @ EPFL (AdaptiveMotorControlLab)

Mathis Lab @ EPFL

AdaptiveMotorControlLab

Geek Repo

Mechanisms underlying adaptive behavior in intelligent systems

Location:Swiss Federal Institute of Technology

Home Page:http://mackenziemathislab.org

Twitter:@mwmathislab

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Mathis Lab @ EPFL's repositories

CEBRA

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

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AmadeusGPT

[NeurIPS 2023] We turn natural language descriptions of behaviors into machine-executable code

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:192Issues:2Issues:6

DLC2Kinematics

a module for kinematic analysis of deeplabcut outputs

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:127Issues:17Issues:15

Camera_Control

a Python API to record video & system timestamps from Imaging Source USB cameras

Language:PythonLicense:MITStargazers:61Issues:8Issues:9

CellSeg3D

A napari plugin for direct 3D cell segmentation -- taking you through training, inference, and review of masks

Language:Jupyter NotebookLicense:MITStargazers:59Issues:3Issues:22

cebra-figures

Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.

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CEBRA-demos

CEBRA Demo Notebooks. Please see all of them at the URL below:

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modelzoo-figures

SuperAnimal models supporting data

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:8Issues:2Issues:0

JoystickControlSystem

joystick system used in Mathis et al, 2017

Language:PythonLicense:MITStargazers:4Issues:2Issues:0

DeepLabCut

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

Language:PythonLicense:LGPL-3.0Stargazers:1Issues:0Issues:0

DeepLabCut-Workshop-Materials

Workshop material for using DeepLabCut

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Docker4DeepLabCut2.0

Docker container for running DeepLabCut2.0 (linux support only)

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SplitWheelVR

follow along for updates and information on our 2-wheel VR system for mice

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CEBRA-assets

Web assets for CEBRA (cebra.ai) and CEBRA DOCS!

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ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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