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A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿
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
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
Python code for creating a composite quasar spectrum from a collection of SDSS quasar spectra.
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
Matplotlib styles for scientific plotting