Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

Variety of tools for generating calibration data for SunCET, e.g., point spread function maps that can then be used for deconvolution

Tools and code for the frontend web tools for the public and the team to browse the data

Routines for making a variety of plots and movies

Tools that deal with orbital simulation and analysis

Variety of convenience functions

Generate realistic synthetic observational data

IDL routines for the SunCET mission and instruments

Data processing pipeline for the SunCET mission

Basically scratch paper but its code. Don't expect especially well documented things here.