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DSHBox — Run DeepSeek Harness locally on Android phones and tablets. It integrates and coordinates DSH, PRoot, WebView, Debian and Node.js, together with a terminal, a file manager,a browser and other tools, into a personal AI workbench. No root access, and no separate Termux installation.

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

TranslatedMulti-scenario AI workbench: six-layer master outline + topology wiring diagram + public-version workbench templates (four scenarios can run, source code can be copied and used as is) + memory mechanism. Companion marketplace: https://www.mydsh.xyz . Author: https://linyujia.me . Note: it does not work as soon as it is installed; the scenarios need to be tuned to your own content.

The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.

  • automatic-differentiation
  • aad
  • algorithmic-differentiation
  • autodiff

Browser automation engine benchmark - Test bypass rates, performance & stealth against Cloudflare, DataDome, reCAPTCHA, Kasada, Imperva, Akamai, PerimeterX and other bot detection systems. Find the best browser for scraping.

Aixio Layer v2 recovers editable layers from flat designs where possible. 150-design benchmark vs Canva Magic Layers, Qwen-Image-Layer and GPT-6 Astra Ultra.

  • ai-design
  • benchmark
  • image-to-layers
  • layer-decomposition

A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.

Translated流儀 (Ryugi, "style" or "school of practice") — a skills collection for coding agents and the artifacts workbench they design in: live artboards, commentable documents, HTML test benches, TDD builds

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

Performance benchmark framework for C++ with nanoseconds measure precision

  • benchmark-framework
  • benchmarks
  • microbenchmarks
  • performance

[LIBERO-MAX] A paired benchmark for robot-policy robustness to controlled changes introduced during execution.