GitHub
frostbyte
A workflow for seasonal streamflow probabilistic forecasting based on streamflow and snow water equivalent station observations.
athena-cofee
A system to support (semi-)automated assessment of textual exercises
planetesimal-magnetic-history
Thermal evolution and dynamo generation model of a planetesimal for Sanderson et. al. (2025) "Unlocking planetesimal magnetic field histories: a refined, versatile model for thermal evolution and dynamo generation"
cpro-proofreader
Simple proof reading platform to ensure articles adhere to the styling guide of CPRO
urb
URB - Urban Routing Benchmark - Benchmarking MARL algorithms on the fleet routing tasks.
terraform-deployment-keys-for-uniqueness
Unique keys for identifying resources with Terraform deployments
aestream
Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols
loadfig
One-liner Python pyproject config loader. Lightweight, simple, and VCS-aware with root auto-discovery.
posebench
Comprehensive benchmarking of protein-ligand structure prediction methods. (ICML 2024 AI4Science)
binder-flowr
Binder files for flowR https://github.com/flowr-analysis/flowr/wiki
obta-paper
The source code for the "Flow decomposition by optimal balance with time-averaging" (2025, Rosenau) paper.
stats-array-stdevtk
Calculate the standard deviation of an array using a one-pass textbook algorithm.
control_kuka_velocity
A ROS2 package for controlling the Kuka iiwa14 using a the serial link action server & client repositories.
object_store_tutorial
Respository with examples on how to use the JASMIN high-performance object storage
transfer-entropy-toolbox
Rewrite and extension of the research in my M.Sc. thesis for publication
collation_editor_core
This is the core of the collation editor code. It is designed to be embedded in other platforms using a services file to make the connection to the database.
exorel
A Bayesian inverse retrieval algorithm to interpret exoplanetary reflected light spectra.
shinyeducation
A website that will provide an overview of all the educational shiny apps
dna_replication_model
Toolkit for analyzing DNA replication timing, origin firing rates, and genomic stability across cell lines and chromosome regions. It includes functions for data processing and visualization for whole-genome, telomeres, centromeres, and specific genomic sites, with error analysis to highlight regions of interest.
lkgcompression
Experimental compression of the data for Looking Glass factory 3D display.
mlrl-boomer
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules
2025-06-04-uprrp-p
UPR Rio Piedras Software Carpentry Python Workshop - June 2025
uav_classification
Code behind "4,500 Seconds" and "15,500" Seconds. More to come
banglasenti-dataset-prep
BanglaSenti Dataset Preparation: Bangla Sentiment Analysis CSV Dataset for NLP & Machine Learning
stats-strided-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
stats-strided-dstdev
Calculate the standard deviation of a double-precision floating-point strided array.
stats-strided-sstdevch
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
cactus-snakemake
Snakemake workflows for performing whole genome alignment with Cactus efficiently on SLURM clusters
bpftime
Userspace eBPF runtime for Observability, Network, GPU & General Extensions Framework
stats-strided-variancewd
Calculate the variance of a strided array using Welford's algorithm.
rsar
[CVPR 2025] Official implementation for the paper "RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark".
stats-strided-varianceyc
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
ndarray-vector-uint32
Create an unsigned 32-bit integer vector (i.e., a one-dimensional ndarray).
superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
