Search Results for "json-cpp" - Page 23
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592 projects for "json-cpp" with 1 filter applied:
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CppUtx is a unit test framework for C++ based on the article `Cpp Utx Overview` written by Robert DiFalco and some parts of CxxTest. It depends on the standard and the boost library.
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A top quality C++ Utility Suite that provides tools to help C++ programmers develop good and strong applications.
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A library of class utilities bases on ACE, that offers you the following: - Logs: I find the log of this library very helpful. The main disadvantage is that this logs are quite costly. - Sockets wrapper: A very useful wrappers. Based on ACE - Services
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cpp2dia is a Tcl Script that uses "ctags" and "graphviz" to parse .cpp files and generate UML diagrams for the diagram drawing tool "Dia".
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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A functional layer for scientific uses that produces and manipulates real functions as first-class objects. Includes parts of compilers and symbolic manipulators in a straightforward encapsulation that extends scientific programming far beyond math.h.
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Generate C++ header files from cpp files. Inspired by javadoc, and doxygen style source commenting. No need to maintain two seperate files to represent one class. Create and keep your headers up-to-date with your cpp files with little effort.
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JSON over Jabber for Java is a library to make it easy for applications to make Remote Procedure Calls on each other. Initially JSON will be used for the encoding, and Jabber for the transport, but other encodings and transports will be added.
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Python library that handles and manages communication between client and blip.pl server via blip.pl API.
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I AM File Indexing can index files in given folders and make the content search able. Written in pure java it is meant for people who need very basic web-site search or multiple files search capability for their java applications.
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JAST (Javascript Toolkit) is an Open Source cross-platform javascript framework that aid users to perform the most hard operations with few simple lines of code. It's modularity allow the download only for the code required to the page.
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A javascript templating toolkit that allows on-demand asynchronous dependencies loading (= html/css/js/other files ) for a given screen element, and automates template processing and display. It acts like a multitasking browser environment.
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Gson is a Java library that can be used to convert arbitrarily complex Java Objects into its JSON representation.
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Hermes 4
Hermes 4 FP8: hybrid reasoning Llama-3.1-405B model by Nous Research
...Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs. The model is designed for schema adherence, producing valid JSON and repairing malformed outputs, making it highly suitable for tool use and function calling. Hermes 4 is engineered for superior steerability with reduced refusal rates, aligning responses to user values while preserving assistant quality. It achieves state-of-the-art results on RefusalBench, outperforming both closed and open models in balancing helpfulness with adaptability. -
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Qwen2.5-VL-3B-Instruct
Qwen2.5-VL-3B-Instruct: Multimodal model for chat, vision & video
...It uses a SwiGLU and RMSNorm-enhanced ViT architecture and introduces mRoPE updates for robust temporal and spatial understanding. The model supports flexible image input (file path, URL, base64) and outputs structured responses like bounding boxes or JSON, making it highly versatile in commercial and research settings. It excels in a wide range of benchmarks such as DocVQA, InfoVQA, and AndroidWorld control tasks. -
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Ein kleiner Kalender Server der eine WEB-GUI hat und XML sowie ICAL formate versendet und empfangen kann. LOGIN über HTTP und verschlüsselte Übertragung bei Socketverbindungen
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DiffusionGemma
NVFP4 DiffusionGemma model for fast multimodal text generation
...Its diffusion-based generation produces tokens in parallel 256-token blocks, enabling very high-speed output, with reported generation above 1,100 tokens per second on NVIDIA Hopper H100 in FP8. The model supports a 256K-token context window, configurable thinking mode, native function calling, structured JSON output, and multilingual inference across 35+ languages. The NVFP4 quantization reduces weights and activations from 16-bit to 4-bit, lowering disk size and GPU memory needs for vLLM deployment. -
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Command A+
4-bit Command A+ model for enterprise agents and multilingual tasks
...Cohere recommends W4A4 for most users because it offers a smaller hardware footprint with negligible benchmark differences compared to BF16 and FP8 versions. The model supports a 128K input context and 64K output length, covers 48 languages, and includes conversational tool-use capabilities with JSON-schema tools and optional citation grounding. -
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Ministral 3 8B Instruct 2512
Compact 8B multimodal instruct model optimized for edge deployment
...Its multilingual support covers dozens of major languages, allowing it to work across diverse global environments and applications. The model adheres reliably to system prompts, supports native function calling, and outputs clean JSON, giving it strong tool-use behavior. -
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Ministral 3 8B Reasoning 2512
Efficient 8B multimodal model tuned for advanced reasoning tasks.
...Despite its reasoning-focused training, the model remains edge-optimized and can run locally on a single 24GB GPU in BF16, or under 12GB when quantized. It supports dozens of languages, adheres reliably to system prompts, and provides native function calling and structured JSON output—key capabilities for agentic and automation workflows. The model also includes a 256k context window, allowing it to handle long documents and extended reasoning chains. -
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Ministral 3 14B Reasoning 2512
High-precision 14B multimodal model built for advanced reasoning tasks
...Despite its scale, the model is engineered for practical deployment and can run locally on 32GB of VRAM in BF16 or under 24GB when quantized. It maintains robust system-prompt adherence, supports dozens of languages, and provides native function calling with clean JSON output for agentic workflows. The model's architecture also delivers a 256k context window, unlocking large-document analysis and long-form reasoning.