Name: Kaustuv Datta
Type: User
Company: ETH Zürich
Bio: Doctoral student at ETH Zurich | Working on the CMS Experiment @CERN | (Mostly) working on jet substructure, and ML applications in particle physics.
Location: Zurich, Switzerland
Kaustuv Datta's Projects
Training GANs to generate 1D Gaussians from 1D latent space
B2G long exercise for the CMSDAS
Code to estimate scale factors for W-taggers in a semileptonic ttbar sample based on a simultaneous fit of pass and fail samples.
Necessary macros to read and pre-process data, and iteratively feed data to neural networks. Also included are some of the model topologies, and functions to scan over and test performance of varying topologies for purpose of single-particle identification
CMS Offline Software
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Experiments with Deep Learning
LaTeX template for a PhD thesis at ETH Zurich
Example repository for the Git/GitHub HATS @ LPC
Accelerate HEP analysis on arrays
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Tutorials for invertible neural networks.
Non official pytorch implementation of i-Resnet, invertible residual networks.
Macros used for my senior year thesis at Reed on using Deep Learning for identifying and reconstructing jets at HEP experiments
GAN example for Keras. Cuz MNIST is too small and there should be something more realistic.
Baseline for MLHEP 2021 competitions
Tools for working with NanoAOD (requiring only python + root, not CMSSW)
Tutorial on normalizing flows.
NanoAOD framework for testing jet algorithms.
PHP based web index for image displaying
Real NVP PyTorch a Minimal Working Example
Unfolding HATS at the LPC