Pinned Repositories
OfflineRLReadingGroup
Offline Reinforcement Learning Reading Group
poutyne
A simplified framework and utilities for PyTorch
bootcamp-iid-2021-Calcul-Canada
bootcamp-iid-2021-RL
bootcamp-iid-2023-deep-learning
Diapositives et matériel supplémentaire pour la présentation "Introduction au Deep Learning" du Bootcamp IID 2023
cloudml-samples
Cloud ML Engine is now a part of AI Platform
CvarAdversarialRL
Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"
ift7020-offlineRL
memoir
M.Sc memoir
NeuralBarkCalculator
Neural-network based semantic segmentation for bark and node recognition
TortillasAlfred's Repositories
TortillasAlfred/bootcamp-iid-2021-Calcul-Canada
TortillasAlfred/bootcamp-iid-2023-deep-learning
Diapositives et matériel supplémentaire pour la présentation "Introduction au Deep Learning" du Bootcamp IID 2023
TortillasAlfred/CvarAdversarialRL
Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"
TortillasAlfred/ift7020-offlineRL
TortillasAlfred/NeuralBarkCalculator
Neural-network based semantic segmentation for bark and node recognition
TortillasAlfred/bootcamp-iid-2021-RL
TortillasAlfred/cloudml-samples
Cloud ML Engine is now a part of AI Platform
TortillasAlfred/IFT-7022_projet_final
Projet final du cours Techniques et Applications du Traitement de la Langue Naturelle.
TortillasAlfred/memoir
M.Sc memoir
TortillasAlfred/rl_summarization
TortillasAlfred/CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
TortillasAlfred/ecole
Extensible Combinatorial Optimization Learning Environments
TortillasAlfred/factory_bot_rails
Factory Bot ♥ Rails
TortillasAlfred/Fast-SCNN
Unofficial implementation of Fast-SCNN: Fast Semantic Segmentation Network
TortillasAlfred/Fast-SCNN-pytorch
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
TortillasAlfred/graal-website
TortillasAlfred/guardian-ai-mg
Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets.
TortillasAlfred/Mila-Graph-Reading-Group
Weekly reading group on Graph Representation Learning at Mila
TortillasAlfred/pareto_eo
TortillasAlfred/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
TortillasAlfred/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
TortillasAlfred/rl-starter-files
RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code
TortillasAlfred/rouge
An implementation of ROUGE family metrics for automatic summarization
TortillasAlfred/rouge-1
A full Python Implementation of the ROUGE Metric (not a wrapper)
TortillasAlfred/sentence_clustering
TortillasAlfred/test-tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
TortillasAlfred/tianshou
An elegant PyTorch deep reinforcement learning library.
TortillasAlfred/TortillasAlfred.github.io
TortillasAlfred/vecmap
A framework to learn cross-lingual word embedding mappings
TortillasAlfred/VisualImprovement-HybridModel
Code and dataset for the paper "Predicting visual improvement after macular hole surgery with limited data: a combined model using deep learning and clinical features"