TortillasAlfred

bootcamp-iid-2021-Calcul-Canada

bootcamp-iid-2023-deep-learning

Diapositives et matériel supplémentaire pour la présentation "Introduction au Deep Learning" du Bootcamp IID 2023

CvarAdversarialRL

Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"

ift7020-offlineRL

NeuralBarkCalculator

Neural-network based semantic segmentation for bark and node recognition

bootcamp-iid-2021-RL

IFT-7022_projet_final

Projet final du cours Techniques et Applications du Traitement de la Langue Naturelle.

rl_summarization

cloudml-samples

Cloud ML Engine is now a part of AI Platform

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

ecole

Extensible Combinatorial Optimization Learning Environments

factory_bot_rails

Factory Bot ♥ Rails

Fast-SCNN

Unofficial implementation of Fast-SCNN: Fast Semantic Segmentation Network

Fast-SCNN-pytorch

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

feature_selection_CBorne

graal-website

memoir

M.Sc memoir

Mila-Graph-Reading-Group

Weekly reading group on Graph Representation Learning at Mila

pareto_eo

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

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

rl-starter-files

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

rouge

An implementation of ROUGE family metrics for automatic summarization

rouge-1

A full Python Implementation of the ROUGE Metric (not a wrapper)

sentence_clustering

test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

tianshou

An elegant PyTorch deep reinforcement learning library.

TortillasAlfred.github.io

vecmap

A framework to learn cross-lingual word embedding mappings

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"