github search·d2i-ai-vibetrainingbench
D2I-ai/VibeTrainingBench
D2I-ai/VibeTrainingBench: Recursive self-improvement (RSI) requires agents to diagnose system bottlenecks and coordinate improvements across training and inference. We refer to the agents' capability to jointly optimize training data, the trainer, and the inference harness as cross-component co-design....
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+0.00 vs 24h ago
Adoption0.0
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CapabilitiesCode GenerationResearch
DeploymentIde Plugin
MaturityExperimental
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Pillar contributions
- MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 2 scaled values = 0.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: GitHub stars, Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
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Score envelope last computed 18d ago. Quality is Unrated — agent has no benchmark results yet.