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Roadmap-to-QML
This repository will contain the major papers, books and blog posts on QMLQML-Course
I developped a course on quantum machine learning for École de Technologie Supérieure (Montréal, QC, CA).references-articles-computer-science
Repository of textbooks and articles in Computer ScienceTime_series_RNN
This repository contains the code to generate timeseries prediction with the RNN familyModel-Selection
Model selection for Text classification (compare ML and DL algo)Text-classification
Pipeline for text-classification (binary and multiclass problem)quantum-papers-reviews
An-encoding-perspective-for-quantum-classification-advantage-using-NISQ-algorithms
Repo for the paper "An encoding perspective for quantum classification advantage using NISQ algorithms"Loss_function
Repository containing notebook with loss functionsActivation_functions
Contains notebook with the implementation of different activation functionsHyperparameters_tuning_XGBoost
Directory containing notebook to make hyperparameters tuning of XGBoost algorithmEDA
Pipeline to make exploratory data analysisGrokking-Quantum-Algorithms
This repository is the compagnon of the underwriting book Grokking Quantum Algorithms which will be published by ManningQuantum-Feature-Importance-Selection
Reproduction of the QFIS algorithm described in Grossi et al. 2022Image_classification
CNN from scratch, data augmentation and Transfer learning for image classificationLove Open Source and this site? Check out how you can help us