joe-from-mtl
Professeur au département d'informatique de l'Université du Québec à Montréal (UQÀM) [Professor at UQAM's computer sciences department)
UQÀMMontréal, Canada
Pinned Repositories
autoencoder
A Convolutional Autoencoder in PyTorch Lightning
docker-example-omero
OMERO Docker compose example
ele8812_Cours_AnalyseMultiresolution
These demonstrations were created for an undergraduate image processing course given at Polytechnique Montréal. This course was given during the winter 2018 semester.
fastbook
The fastai book, published as Jupyter Notebooks
joe-from-mtl.github.io
learning-threejs-third
Ongoing project for learning Three.js third edition
nidaqmx-python
A Python API for interacting with NI-DAQmx
pycro-manager
Python control of micro-manager for customized data acquisition
scilpy
The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
joe-from-mtl's Repositories
joe-from-mtl/ele8812_Cours_AnalyseMultiresolution
These demonstrations were created for an undergraduate image processing course given at Polytechnique Montréal. This course was given during the winter 2018 semester.
joe-from-mtl/autoencoder
A Convolutional Autoencoder in PyTorch Lightning
joe-from-mtl/docker-example-omero
OMERO Docker compose example
joe-from-mtl/fastbook
The fastai book, published as Jupyter Notebooks
joe-from-mtl/joe-from-mtl.github.io
joe-from-mtl/learning-threejs-third
Ongoing project for learning Three.js third edition
joe-from-mtl/nidaqmx-python
A Python API for interacting with NI-DAQmx
joe-from-mtl/pycro-manager
Python control of micro-manager for customized data acquisition
joe-from-mtl/scilpy
The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox
joe-from-mtl/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
joe-from-mtl/Sphinx-RTD-Tutorial
A tutorial on how to use Sphinx
joe-from-mtl/teaching
https://joe-from-mtl.github.io/teaching/
joe-from-mtl/TRAIT2D
TRAIT2D is a cross-platform Python software package with compilable graphical user interfaces (GUIs) to support Single Particle Tracking experiments.
joe-from-mtl/x-tract_allen_web_interface