GRAAL/GRAIL's repositories
domain_adversarial_neural_network
Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
deepparse-address-data
Multinational Structured Address Data
OfflineRLReadingGroup
Offline Reinforcement Learning Reading Group
Compute-Canada-Guidelines
Guidelines on basic usage of Compute Canada's supercomputer resources
domain_adaptation_of_linear_classifiers
Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)
PAC-Bayes_sample_compress_for_kernel_methods
Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)
graal-poster
Latex poster package of the GRAAL group
majority-vote-bounds
PAC-Bayesian bounds computation related to "Risk Bounds for the Majority Vote [...]" (JMLR 2015)
pytorch-gpu-testing
Small script to test that PyTorch works with the current GPU(s).
Transductive-PAC-Bayes
PAC-Bayesian bounds computation related to "PAC-Bayesian Theory for Transductive Learning" (AISTATS 2014)
IP-publishing
Instruction and code to publish your server IP address on reboot.
training-framework
A training framework built with Hydra 🐲, Lightning ⚡ and MLflow 🌊
graal-containers
Several Dockerfiles supporting our research
graal-utils
Utilitary tools
Neural-Network
Neural Netwok compatible version with scikit learn
MeaningBERT
MeaningBERT: Assessing Meaning Preservation Between Sentences
graal-tikz
Standalone TikZ picture of machine learning figure
shallow-planning-partial-observability
Code accompanying the article from neurips:...