arikchakma/gpu-time
A small neural model for parsing date & time
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gpu-time is an experimental neural parser for English time expressions. A small trained model helps turn text into dates, time ranges, and RFC 5545 recurrence rules. The parser runs locally on CPU or WebGPU and does not send your input to a server. The package exports parse(text, context), parseMany(texts, context), and defineParser(options) for a reusable instance with explicit backend selection. The caller supplies the reference instant and timezone. The calendar resolver uses these inputs after the model runs. spans gives the character offsets each answer was read from, so a caller can subtract the time from the text without parsing it again. There is no public AST or token-label output. The CPU splits the input into tokens (words, numbers, and punctuation). It records features such as character shape, case, length, and hashes of the token's own spelling. The model has no word list: it never sees that a token is…
Read the full README ↗ · Preview checked 2026-10-30T20:46:06.559Z
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What this repository does
A small neural model for parsing date & time
Repository facts
- Owner
- arikchakma
- Primary language
- Python
- Stars
- 196
- Forks
- 4
- Open issues + pull requests
- 0
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-09-11T08:13:01.000Z
- Last push
- 2026-09-15T21:12:23.000Z
Topics and intended use
Owner-supplied topics: date, natural-language, recurrence, schedule, webgpu
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Source and freshness
Source: GitHub. Metadata observed 2026-09-18T06:40:01.475Z. Daily imports are snapshots, not real-time monitoring.
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