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  • šŸ‘‹ Hi, Iā€™m @kanhaiya-gupta
  • šŸ‘€ Iā€™m interested in Machine Learning Technique in High Energy Physics
  • šŸŒ± Iā€™m currently learning Single top qaurk associated production with Z boson
  • šŸ’žļø Iā€™m looking to collaborate on Machine Learning Technique in High Energy Physics, Phenomenology & Experiment
  • šŸ“« How to reach me ... Email: [email protected]

Kanhaiya Gupta's Projects

atlas-open-data icon atlas-open-data

The aim of ATLAS Open Data is help in physics analysis techniques used in experimental particle physics. The analysis performed here is just to learn and prepare myself for actual analysis project.

bdt-tutorial icon bdt-tutorial

Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.

belle-ii-analysis icon belle-ii-analysis

Machine learning multiclassification task in particle physics experiment (Belle II) with deep neural networks (DNN) and gradient boosted decision trees (XGBoost).

camb icon camb

Code for Anisotropies in the Microwave Background

carl icon carl

Likelihood-free inference toolbox.

cicy icon cicy

Machine learning analysis of CICY 3-folds

class_public icon class_public

Public repository of the Cosmic Linear Anisotropy Solving System (master for the most recent version of the standard code; ExoCLASS branch for exotic energy injection; class_matter branch for FFTlog)

deft icon deft

dEFT - differential Effective Field Theory

diy_particle_detector icon diy_particle_detector

A mobile low-cost spectrometer for measuring radioactivity and the energy of ionising radiation like alpha particles and electrons

doe icon doe

Design of Experiments analysis

draco-mlfoy icon draco-mlfoy

DNNs, RNNs, Adversaries, CNNs and Other ML techniques

efthiggs icon efthiggs

Carl implementation of Higgs EFT coupling parameters estimation using decomposed likelihood ratios.

eshep_tutorials icon eshep_tutorials

Tutorials to accompany the statistics lectures at the European School of High-Energy Physics

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