StreamSpeech
ictnlp
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
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ictnlp
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
wavetermdev
An open-source, AI-integrated, cross-platform terminal for seamless workflows
readest
Readest is a modern, feature-rich ebook reader designed for avid readers offering seamless cross-platform access, powerful tools, and an intuitive interface to elevate y…
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Git Server with CI/CD, Kanban, and Packages. Seamless integration. Unparalleled experience.
mindee
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vuesion
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kevinluosl
DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and native Feishu integratio…
AprilNEA
🌊 AChat - An open-source/self-hosted/local-first AI platform, designed for enterprises and teams, perfectly combining powerful local processing capabilities with seamle…
shellhub-io
:computer: Get seamless remote access to any Linux device. Centralized SSH for the edge and cloud computing
doyensec
InQL is a robust, open-source Burp Suite extension for advanced GraphQL testing, offering intuitive vulnerability detection, customizable scans, and seamless Burp integr…
mrmn2
Selfhosted PDF manager, viewer and editor offering a seamless user experience on multiple devices.
breezedeus
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free al…
tilo
Fastest end-to-end CSV ingestion for Ruby (with C acceleration). SmarterCSV auto-detects formats, applies smart defaults, and returns Rails-ready hashes for seamless use…
akii09
A React PDF component library with pre-built, themeable components and a CLI for seamless PDF document creation.
liqotech
Enable dynamic and seamless Kubernetes multi-cluster topologies
uxlfoundation
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application