jacobbieker

AstroGAN

Creating a GAN for generating astronomical images (galaxies, IACT images)

factnn

Tensorflow-based Neural Networks and ML utilities for the First G-APD Cherenkov Telescope (FACT) air shower images

lofarnn

PyTorch-based Neural Networks for automating the finding of radio sources, components, and optical counterparts in International Low-Frequency Array (LOFAR) data

smugwrapper

Python 3+ wrapper for the SmugMug API 2.0

solar-mapper

Global PV Panel mapping with Sentinel-2 data

Xml2Sqlite3

Parser made to copy the contents of the Open Exoplanet Catalogue into a SQLite database

graph_weather

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

metnet

PyTorch Implementation of Google Research's MetNet and MetNet-2

Satip

Satip contains the code necessary for retrieving, transforming and storing EUMETSAT data

skillful_nowcasting

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

jacobbieker/solar-mapper

Global PV Panel mapping with Sentinel-2 data

jacobbieker/factnn

Tensorflow-based Neural Networks and ML utilities for the First G-APD Cherenkov Telescope (FACT) air shower images

jacobbieker/smugwrapper

Python 3+ wrapper for the SmugMug API 2.0

jacobbieker/AstroGAN

Creating a GAN for generating astronomical images (galaxies, IACT images)

jacobbieker/3dml

Collection of projects relating to ML on 3D, primarily AV, data

jacobbieker/goes-gpm-weather-forecasting

Weather Forecasting with GOES satellite imagery and IMERG GPM Precipitation Maps

jacobbieker/lofarnn

PyTorch-based Neural Networks for automating the finding of radio sources, components, and optical counterparts in International Low-Frequency Array (LOFAR) data

jacobbieker/Matting-Anything

Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.

jacobbieker/planetary-datasets

Open source dataset loading and creation from Planetary Computer, GCP, and AWS. To support reproducible training of weather, energy, and mapping models.

jacobbieker/webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

jacobbieker/24HDC

code for Team 11 for the 24 Hour Data Challenge

jacobbieker/CollisionAvoidanceChallenge

https://kelvins.esa.int/collision-avoidance-challenge/

jacobbieker/Computational_Astrophysics

jacobbieker/cudominer_docker

jacobbieker/dags

Dagster for personal work on climate/renewable/other personal project data

jacobbieker/DeLenserGAN

Attempt separating the source and the lens in astronomical images

jacobbieker/detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

jacobbieker/iact_docker

Dockerfiles for building images for working with FACT data and neural networks

jacobbieker/jacobbieker.github.io

jacobbieker/MGN

MeshGraphNets (MGN)

jacobbieker/Modern-Astrostatistics

Code for the tutorials in Modern Astrostatistics course at Leiden University

jacobbieker/mvp

Minimum viable product to show the impact of predictive and prescriptive models

jacobbieker/NN_Clustering

Attempt to replicate results of DBSCAN with a neural network.

jacobbieker/NUR_Handin2

jacobbieker/phs_air_shower_feature_generation

generate air-shower features from the photon-stream

jacobbieker/pointnet2-tensorflow2

Pointnet++ modules implemented as tensorflow 2.0 keras layers.

jacobbieker/PV_Live-API

A Python implementation of the PV_Live web API.

jacobbieker/Redshift-Finder

Estimating redshift of sources

jacobbieker/Wide_ASPECS

First Master's Research Project for Leiden University focused on analyzing Wide ALMA Spectroscopic Survey in the Hubble Ultra Deep Field (ASPECS) data

jacobbieker/WideASPECS_Thesis

The LaTeX for the first master's research project at Leiden University.