Search Results for "python file"
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Showing 5 open source projects for "python file"
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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Inferact
File-tagging tool coded in Python.
Tag, search (e.g., by similarity), manage data collections of your choosing. Currently optimized for music and image data. Uses sha1 hashes for identification. Please use additional programs such as: IrfanView (http://www.irfanview.com) and MPC (https://mpc-hc.org) for media handling and a console with unicode support, like ConEmu (https://conemu.github.io). -
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refracTag (discontinued)
Portable file-tagging utility coded in Python.
IMPORTANT: Refractag was later renamed to Inferact. Please use the latter for improved functionality. File-tagging for Windows and Linux. Terminal interface only, for now. -
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Standalone application that uses the clipboard to insert a tag in any document and/or in a log file. Tags contain context information (e.g., date, author) + text note, picture or webcam shot. Tags can contain variables generated by user and/or external programs.
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Terz the incredible AutoTagger is a automated Audio File Tagger and File Renamer. It uses information provided by musicbrainz. By using context information Terz achieves very good results. Other features: show incomplete albums, search for Duplicates ...
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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This library and tools help you to keep tags for files in an external database. As few external dependencies as possible are needed, making it a lightweight file tagging solution.
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