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high-performance inference and serving library for interactive autoregressive video and world models
510 61 126 openLast shipped 20m ago
high-performance inference and serving library for interactive autoregressive video and world models
The week focused on infrastructure and inference capabilities. Tensor and context parallel inference landed in the core runtime, enabling better scaling for larger models, while several demos were packaged into standalone Windows and Linux executables with preloading validation. The team also…
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Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
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package flashdreams demo into (windows/linux) executable + preload-validator + fixes to demos to enable preloading (#658)
Add per-layer width, culling and fade options to the Ludus rasterizer (#670)
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.
