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compute-canada-guidelines

Guidelines on basic usage of Compute Canada's supercomputer resources

csmd

"Continuous Scale Meaning Dataset" used for "MeaningBERT: Assessing Meaning Preservation Between Sentences"

deepparse

Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

deepparse-address-data

Multinational Structured Address Data

domain_adaptation_of_linear_classifiers

Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)

domain_adversarial_neural_network

Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)

fcclc

French Canadian complexity level corpus

graal-containers

Several Dockerfiles supporting our research

graal-poster

Latex poster package of the GRAAL group

graal-tikz

Standalone TikZ picture of machine learning figure

graal-utils

Utilitary tools

graal-website

gs-kernel

The generic string kernel for amino acid sequence comparison

icscm

Invariant Causal Set Covering Machine

ip-publishing

Instruction and code to publish your server IP address on reboot.

majority-vote-bounds

PAC-Bayesian bounds computation related to "Risk Bounds for the Majority Vote [...]" (JMLR 2015)

meaningbert

MeaningBERT: Assessing Meaning Preservation Between Sentences

mincq

neural-network

Neural Netwok compatible version with scikit learn

offlinerlreadinggroup

Offline Reinforcement Learning Reading Group

pac-bayes_sample_compress_for_kernel_methods

Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)

poutyne

A simplified framework and utilities for PyTorch

poutyne-external-assets

pytorch-gpu-testing

Small script to test that PyTorch works with the current GPU(s).

risc

RISC, an open-source Python package data generator. RISC generates look-alike automobile insurance contracts based on the Quebec regulatory insurance form in French and English.

shallow-planning-partial-observability

Code accompanying the article from neurips:...

tcc

Text Complexity Computer (TCC) is a package to compute various complexity metrics on text

training-framework

A training framework built with Hydra 🐲, Lightning ⚡ and MLflow 🌊

transductive-pac-bayes

PAC-Bayesian bounds computation related to "PAC-Bayesian Theory for Transductive Learning" (AISTATS 2014)