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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
43.2k 5.0k 1.5k openLast shipped 4m ago
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
DeepSpeed shipped targeted improvements across its distributed training stack this week. The rollout subsystem gained decode front alignment and dead-zone trimming, while AutoEP (expert parallelism) added fused row weighting, MiniMax-M3 preset support, and collective-path gather reordering. On the…
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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.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
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Keep invalid group-norm sentinels from becoming a finite 1.0 step (#8638)
Give rollout cache fakes the per-layer config Transformers now reads (#8730)
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.
