Reverse Dependencies of RinohType

The following projects have a declared dependency on RinohType:

• bagpy — A python class to facilitate the reading of rosbag file based on semantic datatypes.
• faster-eTaPR — no summary
• LESim — Learning-enabled Simulation
• mlnext-framework — Machine learning utilities.
• odh-core — ODH Core, helper functions and classes
• pyexpose — Python library for creating SSH-based tunnels to expose local services, supporting providers such as serveo.net and localhost.run. It embraces modern Python syntax, asyncio, and context managers for a straightforward and user-friendly experience.
• reactionary — Accurately annotate (meta)genomes with MetaCyc reactions.
• rinoh-typeface-carlito — Carlito typeface
• rinoh-typeface-dejavusans — DejaVu Sans typeface
• rinoh-typeface-dejavusansmono — DejaVu Sans Mono typeface
• rinoh-typeface-dejavuserif — DejaVu Serif typeface
• rinoh-typeface-symbola — Symbola typeface
• rinoh-typeface-texgyreadventor — TeX Gyre Adventor typeface
• rinoh-typeface-texgyrebonum — TeX Gyre Bonum typeface
• rinoh-typeface-texgyrechorus — TeX Gyre Chorus typeface
• rinoh-typeface-texgyrecursor — TeX Gyre Cursor typeface
• rinoh-typeface-texgyreheros — TeX Gyre Heros typeface
• rinoh-typeface-texgyrepagella — TeX Gyre Pagella typeface
• rinoh-typeface-texgyreschola — TeX Gyre Schola typeface
• rinoh-typeface-texgyretermes — TeX Gyre Termes typeface
• rinoh-typeface-urwdingbats — URW Dingbats typeface
• sparseml — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
• sparseml-nightly — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
• sparsezoo — Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
• sparsezoo-nightly — Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
• sphinx-tabs — Tabbed views for Sphinx
• useis — no summary