Vibhavasu's Projects
Pattern Recognition and Machine Learning
EP4130 - Spring 2023: This course is a "starters kit" of useful statistical tools needed for analysis of data. It will discuss usage of statistics in Astronomy and Particle Physics and what tools are need to tackle problems in the above fields. However, the same statistical techniques are used in all branches of Physics and Engineering
:zap: Dynamically generated stats for your github readmes
My contribution towards building the most complete Optical afterglow catalogue of GRBs
This repository contains the code used to perform the analysis described in the paper "A stacked search for spatial coincidences between IceCube neutrinos and radio pulsars" (https://arxiv.org/abs/2306.03427). The code is written in Python 3.10 and uses the following packages: numpy, scipy, matplotlib, pandas, numba, multiprocessing.
Astronomically Accurate Animations - Krittika Summer Project - 2022
Lilu plugin for AMD Vega iGPUs. No commercial use.
Different kind of checkers
A search for high energy neutrinos from millisecond pulsars with IceCube
Lomb Scargle Periodogram of Solar neutrino fluxes observed by Super-K: https://arxiv.org/abs/2402.11258
Credit Card Fraud Detection using multiple classifiers and imbalance handlers for EE5610 Course
This repository contains the code used to perform the analysis described in the paper "Bayesian evidence for spectral lag transition due to Lorentz Invariance Violation for 32 Fermi/GBM Gamma-ray Bursts" (https://www.sciencedirect.com/science/article/pii/S2214404823000460). The code is written in Python 3.10