Benchmarking PDF libraries

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

#1 Persistent memory for AI coding agents based on real-world benchmarks

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

access to david ondrej's personal agent skills

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI

A Claude Code skill that diagnoses social media accounts and analyzes viral content across Chinese platforms (Xiaohongshu, Douyin, Kuaishou, etc.), providing benchmarks, breakdowns, and copywriting drafts.

Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.

Reference implementations of MLPerf® training benchmarks

An Agent Skill helping you to optimize Xcode incremental and clean builds by running benchmarks and optimizing build settings.

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.