sachaMorin
I am a PhD student in Machine Learning at MILA. I am advised by Guy Wolf in the RAFALES lab and Liam Paull in the Robotics and Embodied AI Lab (REAL).
Université de Montréal, MilaMontreal, Canada
Pinned Repositories
GRAE
Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
stepmix
A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.
one4all
An end-to-end fully parametric method for image-goal navigation that leverages self-supervised and manifold learning to replace the topological graph with a geodesic regressor.
apriltag
concept_graphs_jackal
ConceptGraphs Jackal experiments.
cpp-graph-planner
Build graphs and find paths with A*. Supports occupancy grid maps.
dino
Image segmentation code for Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers.
mrss_motion_pub
np-random-forest
Numpy implementation of Random Forest and Decision Tree for classification.
slam-recipes
sachaMorin's Repositories
sachaMorin/concept_graphs_jackal
ConceptGraphs Jackal experiments.
sachaMorin/dino
Image segmentation code for Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers.
sachaMorin/np-random-forest
Numpy implementation of Random Forest and Decision Tree for classification.
sachaMorin/cpp-graph-planner
Build graphs and find paths with A*. Supports occupancy grid maps.
sachaMorin/mrss_motion_pub
sachaMorin/Multiscale_PHATE
Creating multi-resolution embeddings and clusters from high dimensional data
sachaMorin/slam-recipes
sachaMorin/apriltag
sachaMorin/concept-nodes
Reimplementation of some ConceptGraphs functionalities.
sachaMorin/covid-plasma-clusters
Notebook to reproduce the main results of our paper Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity.
sachaMorin/dataset_fetcher
A simple, easy to use loader written in Python 3 for a few datasets.
sachaMorin/diffuser
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
sachaMorin/docs-opmanual_duckiebot
sachaMorin/go1camerarosnode
sachaMorin/habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
sachaMorin/ift6163_homeworks
sachaMorin/LLaVA
Use the cg branch for a minor patch for Concept Graphs installation.
sachaMorin/malaria-detection
Neural network for malaria detection on segmented cell images.
sachaMorin/mazelab
A customizable framework to create maze and gridworld environments
sachaMorin/MELD
Quantifying experimental perturbations at single cell resolution
sachaMorin/mooc-exercises
sachaMorin/neural-net
Neural net API implemented from scratch using Numpy.
sachaMorin/phate-dash
sachaMorin/rgbd_dataset
Dataset class to load posed RGBD frames.
sachaMorin/sachaMorin.github.io
Personal website
sachaMorin/scannetpp
sachaMorin/scikit-learn
scikit-learn: machine learning in Python
sachaMorin/tagslam
SLAM with apriltags
sachaMorin/tagslam_root
root repository for complete tagslam setup
sachaMorin/tagslam_viz
visualization for TagSLAM