Name: Gautham Narayan
Type: User
Company: University of Illinois at Urbana-Champaign
Bio: Assistant Prof. at UIUC. Dark energy, supernovae, white dwarfs, machine learning, astro edu & outreach, photography, hiking. Nerd!
Twitter: gsnarayan
Location: Urbana, IL
Blog: http://gnarayan.github.io
Gautham Narayan's Projects
Content for a workshop on hierarchical modeling of cosmic populations at AAS 231 (Jan 2017, DC)
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Mock alert stream distribution system using Kafka producers and consumers.
Jupyter notebooks implementing a mini version of ANTARES for the "Building the Infrastructure for Time-Domain Alert Science in the LSST Era" workshop
Course Materials for UIUC ASTR 310:
Course materials for Fundamentals of Data Science
ASTR596: Fundamentals of Data Science at UIUC Astronomy, Spring 2023
Spring 2021 course materials for ASTR 8070: Astrostatistics
Bayesian Methods in Astronomy workshop, presented at AAS227
Automatically exported from code.google.com/p/big-macs-calibrate
The easiest way to create websites for conference/events
decat_pointings
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Image Stacking and Subtraction Tutorial for the LSST Data Science Fellowship Program Session 5
The Local Group Galaxy Database
Generate realistic parameters for a SN given host galaxy observations based on empirical correlations from SN datasets
Feature selector is a tool for dimensionality reduction of machine learning datasets
feATURE eXTRACTOR FOR tIME sERIES
FLOYDS pipeline
This repo hosts the code used to show my interactive SN, GRB, and Pulsar websites.
Scripts and documents for generating plasticc sims
Simple astroplan based scheduler for LCOGT observations
Visualization tool for light curves
Lectures and notebooks generated as part of the LSSTC DSFP
Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
Gravitational microlensing detection algorithm using machine learning