A versatile pairwise aligner for genomic and spliced nucleotide sequences

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Allegro is a code for building highly scalable E(3)-equivariant interatomic potentials

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Curated collection of 39 agent skills for healthcare and life sciences workflows, installable via the Agent Skills standard.