Mathis Lab @ EPFL's repositories
AmadeusGPT
[NeurIPS 2023] We turn natural language descriptions of behaviors into machine-executable code
DLC2Kinematics
a module for kinematic analysis of deeplabcut outputs
Camera_Control
a Python API to record video & system timestamps from Imaging Source USB cameras
cebra-figures
Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.
CEBRA-demos
CEBRA Demo Notebooks. Please see all of them at the URL below:
modelzoo-figures
SuperAnimal models supporting data
JoystickControlSystem
joystick system used in Mathis et al, 2017
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
DeepLabCut-Workshop-Materials
Workshop material for using DeepLabCut
Docker4DeepLabCut2.0
Docker container for running DeepLabCut2.0 (linux support only)
SplitWheelVR
follow along for updates and information on our 2-wheel VR system for mice
CEBRA-assets
Web assets for CEBRA (cebra.ai) and CEBRA DOCS!
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.