Machine Learning Engineering Open Book

A PyTorch-based Speech Toolkit

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

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

Hundreds of strange attractors

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

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

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

Tools to connect to and interact with the Mila cluster

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

Time-Contrastive Learning

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation

Official reference implementation of dynamics contrastive learning (DCL).

Implementation of tinyCLAP.

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

Simple EEG tokenizer with PyTorch datasets.