Kanhaiya Gupta's Projects
ESIPAP 2021 Experimental Particle Physics
FakeLeptons recognition for CMS experiment
Python code that performs that Feynman path integral for a specified potential. Demonstrated by approximating the average energy of the quantum harmonic oscillator for various temperatures.
A numerical exploration of Friedmann-Lemaitre-Robertson-Walker Metrics
Free Python Games
Using Gaussian processes for data unfolding in high-energy physics.
A Python toolkit for lattice field theory, quantum computing, and machine learning
:wavy_dash::earth_africa::wavy_dash: Analyse GW150914 (gravitational waves)
Code accompanying my blog post: So, what is a physics-informed neural network?
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
Machine Learning for High Energy Physics.
Living Review of Machine Learning for Particle Physics
Repository for post higgs-competition model submission
Quantum Challenge problem sets
Internal Linear Combination For Cosmic Microwave Background
Tutorials for the 3rd IML Workshop 2019 at CERN.
The Julia Programming Language
A collection of various notebook extensions for Jupyter
A programming tutorial for looking at SAS Data with Python. Part of the 'Better with Scattering' Workshop.
Config files for my GitHub profile.
Keras implementations of Generative Adversarial Networks.
Repository hosting the KLFitter library – the Kinematic Likelihood Fitter.
Machine learning–based inference toolkit for particle physics
This is my master's thesis contents.
matplotlib: plotting with Python
MECO7312 Advanced Statistics and Probability