Search Results for "context" - Page 71
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Showing 1844 open source projects for "context"
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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A facility to keep a history of context information during runtime and then dumping it in a separate file when a problem occurs (similar to core dump).
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Have you ever done a "dixit" (a list of quotations inside a community)? This might be funnier than you think. Extracted from its context, a sentence can be very funny! Even quoted persons often don't believe they said such thinks.
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TouchGraph provides a set of interfaces for graph visualization using force-based layout and focus+context techniques. For now only older code is available, but we are planning to release new versions as well.
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A collection of Java Server Pages for managing libraries and other collection of books and magazines, videos and other media in a private or public library context. Uses PostgreSQL and Tomcat servers.
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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AntAcid is a GUI front-end to Jakarta's ant build tool. Eliminates requirement to code directly in XML. Context-menus direct the user to allowable selections of Tasks, nested Tasks and their respective attributes. Generates xml buildfiles.
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CDIS means "Context Dependent Instruction Set". Byte-code can extend its' own Instruction Set (IS) in runtime by querying of Addit. IS (AIS). Each AIS has unique ID. Basic IS realized as the virtual stack-machine.
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NQXML is a pure Ruby implementation of a non-validating XML processor. It includes an XML tokenizer, a SAX-style streaming XML parser, a DOM-style tree parser, an XML writer, and a context-sensitive callback mechanism.
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Prolog Image Processing is a (initially) MacOS based extension to OpenProlog which allows to use image processing function in the context of Prolog.
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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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WIN-Servlet is a web application framework that supports a windows-like program structure. A browser has its own session-context and window-stack. Supports: component-based dialogs (FORM), input validation, standard HTML/JavaScript pages, servlet API 2.2
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Object oriented context-dependent parser (C++). The primary goal is use the input to create customized objects in your programm. The secondary make them live (perform input based actions).
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JSP tag libraries (taglibs) used to create and maintain application context. Used specifically to allow an application to manage its own properties and logs.
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VisLua is a full featured IDE for the Lua scripting language written in Lua. VisLua supports full context debugging, syntax highlighing, and many other advanced IDE features.
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When translating becomes a game ! Text to translate can be graphically selected. Several dictionnaries can be sorted according to the context. A large choice of matching strategies is available. The OCR engine is tunable.
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Nemotron 3
Large language model developed and released by NVIDIA
...The base Nano architecture uses a hybrid Mamba-Transformer Mixture-of-Experts (MoE) design, allowing the model to activate only a small fraction of its 31.6 billion parameters per token, which improves speed and efficiency without sacrificing quality on complex queries. This configuration supports a massive context length of up to 1 million tokens, making it suitable for long-context reasoning, agentic tasks, extended dialogues, and applications like code generation or document summarization. -
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Nemotron 3 Super
Open language model developed by NVIDIA as part of Nemotron-3 family
...The model contains approximately 120 billion parameters, but employs a Mixture-of-Experts architecture that activates only a smaller subset of parameters during inference, improving computational efficiency while maintaining high capability. Its architecture combines Transformer attention layers with Mamba state-space components to balance long-context reasoning, memory efficiency, and high-quality language generation. The model is optimized for building AI agents that must perform complex tasks such as planning, tool usage, coding assistance, and multi-step reasoning. -
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Kimi K3
Powerful, native multimodal AI agentic model
Kimi K3 is an open-weight, multim is an open-weight, multimodal agentic AI model from Moonshot AI designed for advanced coding, research, reasoning, and knowledge work. Builtodal agentic AI model from Moonshot AI designed for advanced coding, research, reasoning, and knowledge work. Built with 2.8 trillion total parameters and a sparse mixture-of-experts architecture, it activates 104 billion parameters per token to with 2.8 trillion total parameters and a sparse mixture-of-experts... -
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Mistral Small 4
Model that fuses instruct, reasoning and agentic skills
The Mistral Small 4 collection is a set of open-weight large language models developed by Mistral AI that aim to unify multiple capabilities, including instruction following, reasoning, and coding, within a single efficient architecture. These models are part of the broader Mistral Small family, which is designed to deliver strong performance across a wide range of everyday AI tasks while maintaining relatively low latency and efficient deployment requirements. The collection reflects an... -
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Nemotron 3 Nano
LL model providing reasoning and conversational capabilities
...This architecture allows the system to maintain strong reasoning capabilities while improving throughput and reducing the computational cost associated with large context processing. The model is designed as a general-purpose language system capable of handling tasks such as chat interaction, coding assistance, document analysis, and instruction following. -
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The aim of the project is to create a device delivery context api for web servers. Many existing devices don't have a CC/PP or UAProf profile.The project aims to extend Sun's JSR 188 reference implementation by using WURFL device repository.
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Qwen3.6-35B-A3B
Open multimodal model for coding, agents, and long-context tasks
...A notable addition is thinking preservation, which allows the model to retain reasoning context from earlier messages, improving iterative work and reducing redundant computation. Architecturally, it uses a Mixture-of-Experts design with 35B total parameters and 3B active, supports a native 262K-token context window, and can be extended to about 1M tokens with YaRN. It also performs strongly across coding, agent, vision, reasoning, and document-understanding benchmarks. -
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Qwen3.6-27B
Dense multimodal Qwen model for coding, agents, and long context
...It also introduces thinking preservation, allowing it to retain reasoning traces from earlier turns to improve consistency, reduce repeated computation, and support iterative agent workflows. Qwen3.6-27B natively supports a 262K-token context window and can be extended to about 1M tokens with YaRN for ultra-long tasks. It is compatible with Transformers, vLLM, SGLang, and KTransformers, supports tool calling through Qwen-Agent. -
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Solar Open 2
Efficient 250B MoE model for agents, coding, and long-context work
...Its Hybrid-Attention Mixture-of-Experts architecture contains 250B total parameters while activating only 15B per token, combining three linear-attention layers with one softmax-attention layer for efficient inference. The model supports a native 1M-token context window and uses NoPE instead of rotary positional encoding, reducing long-context KV-cache requirements. Solar Open 2 includes 321 experts, with eight routed experts plus one shared expert activated per token. It was pretrained on roughly 12 trillion tokens and supports English, Korean, and Japanese. Agent capabilities include multi-step reasoning, tool calling, MCP tools, and end-to-end task execution. ... -
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Qwen3.8-2.4T-A95B
Massive 2.4T MoE model for coding, agents, research, and reasoning
...The model emphasizes reliable autonomous execution, including stronger planning, environment feedback handling, and end-to-end completion of complex multi-step workflows. It natively supports a 262K-token context window that can be extended beyond one million tokens. Qwen3.8 also provides adjustable reasoning depth through low, medium, and xhigh reasoning-effort settings and preserves reasoning context across conversations. It is a text-only, thinking-first model and supports deployment through vLLM, SGLang, and TokenSpeed, with strong results across coding, tool use, research, and professional benchmarks. -
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MiMo-V2.5-Pro
Flagship MoE model for long-context agents and complex coding
...It features approximately 1.02 trillion total parameters with 42B activated per inference, balancing extreme capability with efficient execution. The model supports a 1 million token context window, enabling it to maintain coherence across long workflows involving thousands of tool calls and multi-step reasoning chains. Architecturally, it uses a hybrid attention system combining Sliding Window Attention and Global Attention to significantly reduce memory usage while preserving long-context performance. It also integrates multi-token prediction modules that accelerate inference and improve reinforcement learning efficiency. ...
