repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday
Eventual-Inc/Daft
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 55%Into the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-Tuning →
- PossiblePossibly related (embedding) · 51%Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing →
- PossiblePossibly related (embedding) · 50%NVIDIA and AWS Collaborate to Bring AI to Production at Scale →
- PossiblePossibly related (embedding) · 47%NVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout →
- PossiblePossibly related (embedding) · 51%DRIVE – Operational Excellence for AI-accelerated engineering →
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Related across the graph
newsInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-TuningnewsDRIVE – Operational Excellence for AI-accelerated engineeringpaperGoku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video EditingnewsNVIDIA and AWS Collaborate to Bring AI to Production at ScalenewsNVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout