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1,897–1,920 of 4,027 · Most stars

Plastic is an Elasticsearch ODM and mapper for Laravel. It renders the developer experience more enjoyable while using Elasticsearch, by providing a fluent syntax for mapping, querying, and storing eloquent models.

High-quality pro HDR image resizing / scaling C++ library, including a very fast, precise, SIMD Lanczos resizer (header-only C++)

  • image-resizer
  • image-upsizing
  • image-scaling
  • resizer-image

titra - modern open source project time tracking for freelancers and small teams

  • open-source
  • meteorjs
  • javascript
  • node-js

Haven't you wished for `try` to sometimes try a little harder? Meet `retry`

Run every Intel version of macOS between Mac OS X Tiger 10.4 and macOS Big Sur 11 on Apple silicon with graphics acceleration, so you can run older 32-bit and 64-bit Intel apps like iWork ’09, iLife ’11, Aperture, Final Cut Pro 7, and Front Row, or PowerPC apps like AppleWorks. This marks an exciting chapter in the preservation of Mac history.

Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding && Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities

Open-source AI interview assistant and meeting copilot: live answers during Zoom, Google Meet and Teams calls, on-device transcription, hidden from screen sharing. Free Cluely, Interview Coder and Final Round AI alternative for Windows, macOS, Linux.

:rocket: PSRecon gathers data from a remote Windows host using PowerShell (v2 or later), organizes the data into folders, hashes all extracted data, hashes PowerShell and various system properties, and sends the data off to the security team. The data can be pushed to a share, sent over email, or retained locally.

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models