Simple EEG tokenizer with PyTorch datasets.

Official reference implementation of dynamics contrastive learning (DCL).

Library that provides metrics to assess representation quality

A graduate-level introduction to reinforcement learning as a framework for modeling, optimization, and control, connecting dynamic models, data, and applications beyond standard benchmarks.

Implementation of tinyCLAP.

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

Time-Contrastive Learning

2 day workshop on advanced topics in M/EEG analyis using mne python

Self-supervised contrastive learning for time series via time-frequency consistency

Machine Learning Engineering Open Book

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

A PyTorch-based Speech Toolkit

Foundation Models for Time Series

T-PHATE manifold learning of brain state dynamics

Oscillating alveoli model

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Support material for MAT6115, Université de Montréal, Fall 2018

#MahsaAmini

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.

Example of Dense Associative Memory training on MNIST

Hundreds of strange attractors

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

The Hyperscanning Python Pipeline

Julia implementation of Liquid State Machine

Benchmarks for Out-of-Distribution Generalization in Time Series Tasks

Tools to connect to and interact with the Mila cluster