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Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
AI-powered document analysis and tagging for Paperless-ngx
...A key capability is its use of retrieval-augmented generation, which enables semantic search and natural language interaction across an entire documentarchive. Users can ask contextual questions about their files and receive precise answers based on full document understanding rather than simple keyword matching. Paperless-AI also includes a web interface for manual review and tagging, allowing greater control when handling sensitive or complex documents.
Document papers compiled daily in computer vision/deep learning
This repo is a running feed of computer-vision research, tracking new papers and notable results so practitioners can keep up without scouring multiple sites. It’s organized chronologically and often thematically, making it easy to scan what’s new in detection, segmentation, recognition, generative vision, 3D, and video understanding. The cadence is intentionally frequent, reflecting how quickly CV advances and how hard it is to maintain awareness while working full time. By aggregating...
CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources.
A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources.
CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on.
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