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numbagg

241

Fast N-dimensional aggregation functions with Numba.

Outrosby numbagg

skill-share

239

A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.

Outrosby Microck

laravel-cashier-paddle

239

Laravel Cashier (Paddle) - Subscription billing and payment processing

Outrosby Microck

student-success-scorecard

239

Metrics framework for monitoring engagement, progression, and completion.

Outrosby Microck

gtars

239

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Outros#pythonby Microck

molfeat

239

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Outros#aiby Microck

torch-geometric

239

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

Outrosby Microck

ordinary-claude-skills

239

An unappealing collection of Claude Skills and resources.

Outrosby Microck

ordinary-claude-skills

239

An unappealing collection of Claude Skills and resources.

Outrosby Microck

Convex Agents Usage Tracking

239

Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.

Outros#llmby Microck

forgotten-elements-reminder

239

当重要的故事元素(角色、情节线、伏笔)10章以上未出现时自动提醒 - 防止长篇小说中的'角色消失综合症'和遗漏的情节线

Outrosby Microck

gtars

239

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Outros#pythonby Microck