Search Results for "task" - Page 81
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Showing 2026 open source projects for "task"
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Linear Programming (LP) has been used in the case of the Federalist Papers whose authorship had been disputed. The task here will be to use the Cell Broadband Engine to do likewise with papers whose authorship is disputed.
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Proxy server with data blocking and caching. Project task is to create proxy server, which is blocking pornographic data or etc.. Data are chosed from a file. Server has to log in all questions. Also server has to cache sites which were previously seen.
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OpenEL is an attempt to create an open source cross-platform engine layer to ease developement of games and similar products. It abstracts a Task- and Threadmanager, Graphics (+ GUI), Audio, Physics, an Eventsystem and loads common files www.openel.org
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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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Graduate School Management, is being evolved as a course Project. The System aims to Manage overall aspects of a graduate school.The system will have Course Management, Student Management, Budget Task basically.
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It's a kind of fork from the original "ocomonphp". This is a Service Desk System. The main goal of this task force is for open the source code repository to the community and also make it integrated with the CACIC (an inventory system).
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LivingPages is a really easy to use web development environment based on Apache, PHP and MySQL. It provides you a GUI to manage your webserver and a lot of utilities that will make managing your web projects an incredibly easy task.
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QCPUfreq is a GUI program providing a frontend for the Linux kernels CPUfreq functionality similar to the GNOME cpufreq-applet. It is multi CPU capable. It follows the philosophy "One task, one tool", so it is NOT a deamon or such things.
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No Cheese Window Manager (ncwm) is a lightweight window manager for the X Window System, fork of Window Manager Improved (wmi). It attempts to use keyboard on every task the user wants to do, if possible, no mouse, no cheese.
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Set of tools, web based and command line python based, to manage the status of builds on a linux based system. Ala Tinderbox style, task status (test, build, etc) are send via email to a rails engine that monitors build status and displays it on a web.
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The task for the project is to take the Open Source electronic Patient journal "World VistA EHR" (http://worldvista.org)and build on this to make an electronic patient journal suited for a Venerea clinic on Bispebjerg Hospital, Denmark.
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Supertagger
Software for assigning supertags.
Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree. -
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Hy3 preview
Efficient MoE model for reasoning, coding, and AI agent workflows
...It is the first model built on Tencent’s rebuilt training infrastructure and introduces significant improvements in context learning, software engineering, and tool-based task execution. The model features 295B total parameters with only 21B activated during inference, plus a dedicated 3.8B Multi-Token Prediction (MTP) layer that accelerates generation through speculative decoding. Architecturally, it uses 192 routed experts with top-8 activation, a dense-MoE hybrid design, and a native 256K-token context window. ... -
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gpt-oss-120b
OpenAI’s open-weight 120B model optimized for reasoning and tooling
...It operates in OpenAI’s Harmony response format and can be deployed via Transformers, vLLM, Ollama, LM Studio, and PyTorch. Developers can control the reasoning level (low, medium, high) to balance speed and depth depending on the task. Released under the Apache 2.0 license, it enables both commercial and research applications. The model supports function calling, web browsing, and code execution, streamlining intelligent agent development. -
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UVE
Unified Verification Environment
...One of the main innovations of UVE is a list of TODOs in the TB code which help in finalizing the TB. This is especially useful for developers not familiar with SV and/or UVE, but also experienced developers profit from that easy to use task list. Moreover, the graphical interface lets the user observe the structure of the generated testbench. Files can be accessed easily by double clicking on the graphical view. Simulation can be launched directly from the tool. -
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Indicus Software "VEROXA" (formerly code named as WMS Pro) is a web based Business Process Management Solution for project-based organizations to manage their business processes, functions, vendors, projects, project payments and a whole lot more.
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MiniMax-M2.7
Self-evolving AI model for agents, coding, and complex workflows
MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30%... -
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NuMarkdown-8B-Thinking
Reasoning-powered OCR VLM for converting complex documents to Markdown
...The model excels at non-standard layouts and complex table structures, outperforming non-reasoning OCR systems like GPT-4o and OCRFlux, and competing with large closed-source reasoning models like Gemini 2.5. Thinking token usage can range from 20% to 500% of the final answer, depending on task difficulty. NuMarkdown-8B-Thinking is released under the MIT license and supports vLLM and Transformers for deployment. -
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Inkling
Frontier multimodal MoE model for coding and AI agent workflows
...Trained from scratch on approximately 45 trillion multimodal tokens, Inkling introduces controllable reasoning effort, allowing users to trade off latency and reasoning depth depending on the task. It is optimized for software engineering, tool use, and large-scale autonomous workflows, with strong performance on coding and agent benchmarks. -
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MiMo-V2.5
Omnimodal AI model for agents, coding, and long-context tasks
...Built on a Mixture-of-Experts architecture with approximately 309B total parameters and around 15B activated per inference, it balances high capability with efficient execution. The model natively processes text, images, video, and audio within a unified system, enabling cross-modal understanding and complex task execution in a single pipeline. With a context window of up to 1 million tokens, it can handle large documents, extended conversations, and multi-step workflows without fragmentation. MiMo-V2.5 delivers near-Pro-level performance in coding, reasoning, and agent tasks while maintaining lower cost and faster inference speeds. It also integrates advanced components such as multi-token prediction modules and specialized vision and audio encoders, making it well-suited for autonomous agents and software development. -
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DeepSeek-V4-Pro
Flagship MoE model for advanced reasoning, coding, and agents
...DeepSeek-V4-Pro is positioned as the high-end variant of the V4 family, outperforming most open-source models in areas such as agentic coding, STEM reasoning, and world knowledge, and approaching the performance of leading closed-source systems. It also supports advanced reasoning modes and tool-based workflows, enabling autonomous task execution. -
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DeepSeek-V3.2
High-efficiency reasoning and agentic intelligence model
...The model was notably used in competitive AI challenges such as the 2025 International Mathematical Olympiad (IMO) and IOI, achieving top-tier results. DeepSeek-V3.2 also features a large-scale agentic task synthesis pipeline, which generates training data to enhance tool-use intelligence and multi-step reasoning. It introduces a new “thinking with tools” chat template, allowing it to reason and decide when to invoke specific tools during problem solving. -
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Kimi K2.7 Code
Coding-focused Kimi model for long-horizon agent workflows
Kimi K2.7 Code is a coding-focused agentic model built on Kimi K2.6, designed for long-horizon software engineering, autonomous coding workflows, and complex tool-based execution. It improves end-to-end task completion across real-world programming scenarios while reducing thinking-token usage by about 30% compared with K2.6. Architecturally, it uses a 1T-parameter Mixture-of-Experts design with 32B activated parameters, 61 layers, 384 experts, a 256K-token context window, and a MoonViT vision encoder. The model supports image and video input, native INT4 quantization, interleaved thinking, and multi-step tool calling. ... -
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Ministral 3 8B Base 2512
Versatile 8B-base multimodal LLM, flexible foundation for custom AI
Ministral 3 8B Base 2512 is a mid-sized, dense model in the Ministral 3 series, designed as a general-purpose foundation for text and image tasks. It pairs an 8.4B-parameter language model with a 0.4B-parameter vision encoder, enabling unified multimodal capabilities out of the box. As a “base” model (i.e., not fine-tuned for instruction or reasoning), it offers a flexible starting point for custom downstream tasks or fine-tuning. The model supports a large 256k token context window, making...
