Data from our Quasar Outflow publications

A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿

A new version of stardew planner.

ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template

Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

Interactive Guide for learning python inside Colab Jupyter Notebook Environment.

Python tool for GRB optical light curve studies

VS Code Jupyter extension

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

light-curve feature extraction library for Python

Kolmogorov Arnold Networks

Python code for creating a composite quasar spectrum from a collection of SDSS quasar spectra.

InfoMax-VAE pytorch implementation

Obtain the latent variables that contain the maximal mutual information.

Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch

ASTR 598: Astro-statistics and Machine Learning

Numba tutorial for GTC 2018

Statsmodels: statistical modeling and econometrics in Python

Read the CCD guide here:

Astropy affiliated package for reducing optical/IR CCD data

Implementation of Self Organizing Maps for use in QNPy

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

Resources for Open Science in Astronomy (ROSA) ✨ 🔭

Gaia BP/RP spectra package

Matplotlib styles for scientific plotting