Riccardo Di Sipio (rdisipio)

rdisipio

Geek Repo

Company:Ceridian

Location:Toronto

Home Page:https://riccardo-disipio.medium.com/

Twitter:@rdisipio

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Riccardo Di Sipio's repositories

qtransformer

Quantum-enhanced transformer neural network

qlstm

Example of a Quantum LSTM

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gpt-q

Quantum-enhanced GPT-2

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qnlp

NLP stuff with quantum computing

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quantum_unfolding

Unfolding with quantum computing.

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qrnn-qiskit-ml

Example of RNN based on Qiskit Machine Learning

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hai-q

Use a (Q)LSTM to generate short poetry (haiku)

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HEP-ML-Resources

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

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NuclearNBody

Nuclear N-body calculation using DWave quantum annealer.

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classify_dqm_qubo

Classify documents using QUBO Quadratic Discrete Model

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DeepBayesIris

Iris dataset separation using Bayesian Neural Network

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MAMbo

Statistical analysis framework for the ATLAS experiment at CERN

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ReShower

Run Parton Shower on the same event multiple times

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whatsapp-bert

Whatsapp bot based on BERT

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AngryTops

Reconstruction of top quark decay using machine learning

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BayesianBoostedTagger

TemplateTopTagger algorithm to identify boosted top quarks.

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benford-particles

Application of Benford's Law to particles' mass distribution

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CheetahML

Demonstrative CNN to classify cats

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ComBAT

Statistical combination of measurements using Bayes' theorem

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cudaTemplateTopTagger

CUDA Implementation of TemplateTopTagger algorithm to identify boosted top quarks.

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DetectorFastSim

Simple detector fast-simulation to be used with Rivet

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DiJetGAN

Code relative to paper arXiv:1903.02433 [hep-ex]

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hough-gpu

Implementation of the Hough transform on a GPU. Used for publication arXiv:1507.03074

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MechanicalToad

LANL earthquake prediction competition

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ml_jets_calibration

Jet energy and mass scale calibration using DNN

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PyBLUE

Combination of measurements using BLUE (best linear unbiased estimator) method

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QCHEP

Container for Quantum Computing ideas for High-Energy Physics, code based on Google CIRq

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titanic

Kaggle Titanic competition

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