2 projects for "type it" with 2 filters applied:

  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Try Free
  • 1
    Batch Audio Convert

    Batch Audio Convert

    Command-line mass conversion of any directory tree of audio files.

    ...Supported file formats are OGG, FLAC, MP3, AAC, ALAC, WAV, in all ways, and WMA as source. Main audio tags are preserved in the process, as well as most file name characters (white spaces, question marks etc). BAC runs on Linux and probably most UNIX-type OSes. On Windows, it must be operated from the Cygwin environment. It requires the following software to be installed: - flac and metaflac (flac files only) - vorbis-tools (ogg files only) - faac and faad (aac files only) - lame and madplay (mp3 files only) - alac-decoder and mpeg4ip-utils (ALAC decode) - ffmpeg (ALAC encode, wma decode) - mplayer (wma decode) - mp4v2-utils (AAC, ALAC, WAV decode) BAC is now optimized for multiprocessing on multicore systems: a tunable number of cores can be used for simultaneous conversions.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2

    mwetoolkit

    THIS PROJECT MIGRATED TO https://gitlab.com/mwetoolkit/mwetoolkit3/

    ...Even though it focuses on multiword expresisons, the framework is quite complete and can also be useful in any corpus-based study in computational linguistics. The mwetoolkit can be applied to virtually any text collection, language, and MWE type. It is a command-line tool written mostly in Python. Its development started in 2010 as a PhD thesis but the project keeps active (see the SVN logs). Up-to-date documentation and details about the tool can be found on the mwetoolkit website: http://mwetoolkit.sourceforge.net/
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next