Pinned Repositories
2020-07-13-pyhep2020-tutorial
AnalysisRepositoryTemplate
Template for an ATLAS analysis repository.
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.
basf2-starters-workshop-2021
Exercises of the 7th Belle II Starter Kit Workshop based on the Online Textbook, release-05-01-16
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
bdt-tutorial
Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.
Belle-II-Analysis
Machine learning multiclassification task in particle physics experiment (Belle II) with deep neural networks (DNN) and gradient boosted decision trees (XGBoost).
bootstrap-2d-Python
Numerically computing correlation functions in 2d CFT, using Jupyter Notebooks.
CAMB
Code for Anisotropies in the Microwave Background
carl
Likelihood-free inference toolbox.
kanhaiya-gupta's Repositories
kanhaiya-gupta/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.
kanhaiya-gupta/Charged-Higgs-Phenomenology
This is a research project on Charged Higgs Phenomenology.
kanhaiya-gupta/ChargedHiggs
Repository for the Charged Higgs analysis.
kanhaiya-gupta/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)
kanhaiya-gupta/Delphes_analysis
kanhaiya-gupta/Effective-Field-Theory
Research Proposal
kanhaiya-gupta/Electromagnetic_Fields_B_2020
Visualisation and analysis of electromagnetic fields.
kanhaiya-gupta/Fermiophobic-gauge-boson
kanhaiya-gupta/gpt
A Python toolkit for lattice field theory, quantum computing, and machine learning
kanhaiya-gupta/histfitter
kanhaiya-gupta/jupyter_contrib_nbextensions
A collection of various notebook extensions for Jupyter
kanhaiya-gupta/jupyter_tutorial_sas
A programming tutorial for looking at SAS Data with Python. Part of the 'Better with Scattering' Workshop.
kanhaiya-gupta/KLFitter
Repository hosting the KLFitter library – the Kinematic Likelihood Fitter.
kanhaiya-gupta/Master_thesis_bonn
This is my master's thesis contents.
kanhaiya-gupta/meco7312
MECO7312 Advanced Statistics and Probability
kanhaiya-gupta/neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
kanhaiya-gupta/New-physics-using-tri-muons-events-
kanhaiya-gupta/nnqft
kanhaiya-gupta/pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.1)
kanhaiya-gupta/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
kanhaiya-gupta/Poission-equation-solver
kanhaiya-gupta/pps-dilepton-analysis-notebook
kanhaiya-gupta/Print3r
Command line interface (CLI) for 3d printing
kanhaiya-gupta/python_1d_dft
1D density functional theory code in Python
kanhaiya-gupta/python_for_image_processing_APEER
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
kanhaiya-gupta/rabi-neutrino-oscillations
https://github.com/emptymalei/rabi-neutrino-oscillations
kanhaiya-gupta/slidev-theme-academic
Academic presentations with Slidev made simple 🎓
kanhaiya-gupta/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
kanhaiya-gupta/top_pair
analysis top quark pairs in the SMEFT
kanhaiya-gupta/udlbook
Understanding Deep Learning - Simon J.D. Prince