Search Results for "output" - Page 14
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Showing 4135 open source projects for "output"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Purple Llama
Set of tools to assess and improve LLM security
Purple Llama is an umbrella safety initiative that aggregates tools, benchmarks, and mitigations to help developers build responsibly with open generative AI. Its scope spans input and output safeguards, cybersecurity-focused evaluations, and reference shields that can be inserted at inference time. The project evolves as a hub for safety research artifacts like Llama Guard and Code Shield, along with dataset specs and how-to guides for integrating checks into applications. CyberSecEval, one of its flagship components, provides repeatable evaluations for security risk, including agent-oriented tasks such as automated patching benchmarks. ... -
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Functional programming library golang
functional programming library for golang
This library aims to provide a set of data types and functions that make it easy and fun to write maintainable and testable code in Golang. Write many small, testable, and pure functions, i.e. functions that produce output only depending on their input and that do not execute side effects. Offer helpers to isolate side effects into lazily executed functions (IO). Expose a consistent set of compositions to create new functions from existing ones. For each data type, there exists a small set of composition functions. These functions are called the same across all data types, so you only have to learn a small number of function names. ... -
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Ormolu
A formatter for Haskell source code
...Using GHC's own parser to avoid parsing problems caused by haskell-src-exts. Let some whitespace be programmable. The layout of the input influences the layout choices in the output. This means that the choices between single-line/multi-line layouts in certain situations are made by the user, not by an algorithm. This makes the implementation simpler and leaves some control to the user while still guaranteeing that the formatted code is stylistically consistent. Writing code in such a way so it's easy to modify and maintain. ... -
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Common Expression Language
Fast, portable, non-Turing complete expression evaluation
...To get started, try the Codelab. Determine the variables and functions you want to provide to CEL. Parse and check an expression to make sure it's valid. Then evaluate the output AST against some input. Checking is optional but strongly encouraged. The parsing phase indicates whether the expression is syntactically valid and expands any macros present within the environment. Parsing and checking are more computationally expensive than evaluation. -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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phantomas
Headless Chromium-based web performance metrics collector
...Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). Metrics can be emitted from the JavaScript code of the page phantomas is run against (thanks to helper functions available in window.__phantomas). Device profiles allow phantomas to emulate mobile or tablet (by setting a proper user agent and viewport). phantomas comes as a CommonJS module that you can use in your nodejs projects. ... -
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SAN
A fast, portable, flexible JavaScript component framework
...By modifying the data, the view engine can directly refresh the view area that needs to be changed without any detection and better performance. Optimized for the first screen and output HTML from the server-side. Reverse parse components from existing elements and build bindings. Volume less that 17kb (gzipped), no need to worry about the burden of page downloads. The gospel of patients with volume obsessive. The ESNext Module or AMD can be selected in the project. Of course, if you want to use global variables it is also supported. -
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Cheat on Content
Workflow that turns every post into a calibrated experiment
...It is aimed at creators, marketers, and operators who want to build a repeatable system for learning from every published piece. Its value is strongest for people who already create consistently but need a better way to extract insight from their output. -
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mosdepth
fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing
mosdepth is a fast BAM/CRAM depth calculation tool for genomic data, allowing efficient computation of sequencing coverage. -
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Sora.FM
Sora AI Video Generator by Sora.FM
...For creators wanting to explore AI-based content generation — for example automated video clips, short-form media, or other generated video content — sorafm offers a starting point. As with many open-source generators in this space, the tradeoff lies in balancing ease-of-use and the limitations of generative output, but the fact that it’s publicly available means users can experiment, iterate, or fork to adapt pipelines: maybe customizing model prompts, video templates, or post-processing. -
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HunyuanOCR
OCR expert VLM powered by Hunyuan's native multimodal architecture
HunyuanOCR is an open-source, end-to-end OCR (optical character recognition) Vision-Language Model (VLM) developed by Tencent‑Hunyuan. It’s designed to unify the entire OCR pipeline, detection, recognition, layout parsing, information extraction, translation, and even subtitle or structured output generation, into a single model inference instead of a cascade of separate tools. Despite being fairly lightweight (about 1 billion parameters), it delivers state-of-the-art performance across a wide variety of OCR tasks, outperforming many traditional OCR systems and even other multimodal models on benchmark suites. HunyuanOCR handles complex documents: multi-column layouts, tables, mathematical formulas, mixed languages, handwritten or stylized fonts, receipts, tickets, and even video-frame subtitles. ... -
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CodeCompanion
AI-powered coding, seamlessly in Neovim. Supports Anthropic, etc.
Currently supports Anthropic, Copilot, Gemini, Ollama and OpenAI adapters. -
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sbctl
Secure Boot key manager
sbctl intends to be a user-friendly secure boot key manager capable of setting up secure boot, offering key management capabilities, and keeping track of files that need to be signed in the boot chain. It is written top-to-bottom in Golang using go-uefi for the API layer and doesn't rely on existing secure boot tooling. It also tries to sport some integration testing towards tianocore utilizing vmtest. -
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tslog
Universal Logger for TypeScript and JavaScript
Powerful, fast, and expressive logging for TypeScript and JavaScript. Every incoming log message runs through a number of steps before being displayed or handed over to a "transport". Every step can be overwritten and adjusted. By default, tslog is optimized for the best developer experience and includes some default settings that may impact performance in production environments. -
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ffmpeg-normalize
Audio Normalization for Python/ffmpeg
...It can process multiple files in batch mode, making it suitable for large media libraries or production workflows. ffmpeg-normalize also preserves metadata and supports a wide range of input and output formats. Its design emphasizes accuracy and compliance with broadcasting standards. Overall, it provides a reliable solution for achieving consistent audio quality in multimedia content. -
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Tunarr
Create a classic TV experience using your own media
Tunarr is a self-hosted media server that enables users to create custom live TV channels from existing media libraries such as Plex, Jellyfin, Emby, or local files. It allows users to organize content into scheduled or randomized channels that simulate traditional broadcast television experiences. The platform includes tools for building channel lineups, inserting filler content like commercials or music videos, and managing playback preferences. It provides integration with IPTV systems... -
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LLM Council
LLM Council works together to answer your hardest questions
LLM Council is a creative open-source web application by Andrej Karpathy that lets you consult multiple large language models together to answer questions more reliably than querying a single model. Instead of relying on one provider, this application sends your query simultaneously to several LLMs supported via OpenRouter, collects each model’s independent response, and then orchestrates a multi-stage evaluation where the models critique and rank each other’s outputs anonymously. After this... -
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AlphaFold 3
AlphaFold 3 inference pipeline
AlphaFold 3, developed by Google DeepMind, is an advanced deep learning system for predicting biomolecular structures and interactions with exceptional accuracy. This repository provides the complete inference pipeline for running AlphaFold 3, though access to the model parameters is restricted and must be obtained directly from Google under specific terms of use. The system is designed for scientific research applications in structural biology, biochemistry, and bioinformatics, enabling... -
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Upsonic
The most reliable AI agent framework that supports MCP
Upsonic is a reliability-focused AI agent framework designed for real-world applications. It enables the development of trusted agent workflows within organizations by incorporating advanced reliability features, such as verification layers and output evaluation systems. The framework supports the Model Context Protocol (MCP), facilitating integration with various tools and enhancing agent capabilities. -
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Bento
Packer templates for building minimal Vagrant baseboxes
Bento is a project that encapsulates Packer templates for building Vagrant base boxes. A subset of templates are built and published to the bento org on Vagrant Cloud. These published boxes serve as the default boxes for kitchen-vagrant. -
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Zeek
Zeek is a powerful network analysis framework
...Rather, Zeek sits on a “sensor,” a hardware, software, virtual, or cloud platform that quietly and unobtrusively observes network traffic. Zeek interprets what it sees and creates compact, high-fidelity transaction logs, file content, and fully customized output, suitable for manual review on disk or in a more analyst-friendly tool like a security and information event management (SIEM) system. -
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Gemini-API
Reverse-engineered Python API for Google Gemini web app
Gemini-API is a community-created asynchronous Python wrapper for the web interface of Google’s Gemini models (formerly Bard). It is the result of reverse-engineering the Gemini web app and exposing its functionality through a programmatic API. This enables developers to incorporate Gemini into Python applications, scripts, bots, or tools without relying solely on official SDKs. The wrapper supports streaming responses, model selection, and handling of the web-based authentication/session... -
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INim
Interactive Nim shell / REPL / Playground
INim is an interactive shell (REPL) for the Nim programming language, providing a platform for executing Nim code snippets in real-time. -
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TexText
Re-editable LaTeX/ typst graphics for Inkscape
Re-editable LaTeX and typst graphics for Inkscape. TexText is a Python extension for the vector graphics editor Inkscape providing the possibility to add and re-edit LaTeX and typst generated SVG elements to your drawing. -
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secator
Automated framework for running pentesting tools and workflows
...It supports dozens of established security tools and organizes them into structured workflows, enabling users to perform complex reconnaissance and vulnerability discovery processes with minimal manual effort. By standardizing input parameters and output formats across different tools, Secator simplifies how results are collected and processed during security testing. Secator is built to improve productivity for penetration testers, bug bounty hunters, and security researchers who frequently chain multiple tools together during assessments. -
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GLM-TTS
Controllable & emotion-expressive zero-shot TTS
...The system introduces a multi-reward reinforcement learning framework that jointly optimizes for voice similarity, emotional expressiveness, pronunciation, and intelligibility, yielding output that can rival commercial options in naturalness and expressiveness. GLM-TTS also supports phoneme-level control and hybrid text + phoneme input, giving developers precise control over pronunciation critical for multilingual or polyphone-rich languages.
