Search Results for "gpu"
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Showing 3 open source projects for "gpu"
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Financial reporting cloud-based software.The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
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Kintsugi
A tool to automatically resolve Git conflicts
...Named after the Japanese art of repair and beauty, Kintsugi embraces imperfect captures and enhances them intelligently, preserving natural detail while reducing noise and artifacts in ways that align with human visual preferences. The toolkit includes both CPU and GPU paths, allowing it to scale from mobile devices to powerful workstations while maintaining real-time or near-real-time responsiveness for interactive editing contexts. Its algorithmic suite is designed to be modular as well, so developers can pick and combine components for tasks like RAW image enhancement, HDR tone management, or aesthetic adjustments with perceptual fidelity. -
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BashCore
A custom Debian live ISO with security tools, no GUI, only Bash.
BashCore is a Debian-based live ISO for security pros, networking enthusiasts, and students. Minimalist and GUI-free, it relies entirely on Bash. Lightweight, fast, GPU-ready, and now offering an optional PREEMPT_RT kernel, it provides a fresh environment on every boot, ideal for safe experimentation, learning, and diagnostics. Built with Debian live-build, MIT-licensed, no branding, telemetry, or tracking. Also available: BashCoreX adds XFCE with Firefox, Tor & Mullvad browsers, Wireshark, GParted, and FileZilla. ... -
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commit-autosuggestions
A tool that AI automatically recommends commit messages
...However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.
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