PAReTT: a Python package for the Automated Retrieval and management of divergence time data from the TimeTree resource for downstream analyses (Dataset)

Combining Automated and Manual Data for Effective Downstream Fine-Tuning of Transformers for Low-Resource Language Applications

This paper addresses the constraints of down-stream applications of pre-trained language models (PLM

pyveg: A Python package for analysing the time evolution of patterned vegetation using Google Earth Engine

Periodic vegetation patterns (PVP) arise from the interplay between
forces that drive the

Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning

Monitoring forest cover change from Earth observation data streams in near-real-time presents a c

bmotif: A package for motif analyses of bipartite networks

Bipartite networks are widely used to represent a diverse range of species interactions, such as pol

AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning

Neural retrieval and GPT-style generative models rely on large, high-quality supervised data, which

SALTshaker: A community Python package visibility and observation planning for the Southern African Large Telescope

SALTishaker is a specialized Python package designed for plann