Showing 575 open source projects for "specialized"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

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  • 1
    Leanstral

    Leanstral

    Open-source code agent designed for Lean 4

    ...The model is built to understand and generate Lean 4 code, which is used to express complex mathematical constructs as well as formal software specifications. By focusing on theorem proving and formal reasoning, Leanstral represents a specialized direction within large language models, targeting domains that require strict correctness and logical rigor rather than general conversational tasks. It leverages modern large-scale architectures, likely incorporating mixture-of-experts techniques, to balance efficiency and capability while handling structured symbolic reasoning tasks. ...
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  • 2

    xml_mbtsiroja_page

    Specialized web-based tool

    Highly specialized web-based tool for generating special kind of bad formatted XML files for another scheduler script (not included).
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  • 3
    This project aims to be a base for specialized image crawlers. It can download images from a specific website and can be extended to crawler any website. All the the processes are multithread. Accept filters.
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  • 4
    AMY4j is a 2d/3d engine specialized on particle systems, physic simulation and procedural images
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    Host LLMs in Production With On-Demand GPUs

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  • 5
    Sloth is an SDL based engine that offers data structures, functions and types specialized for the development of games in C++ for various platforms(mainly Linux).
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  • 6
    Monkey Bench is a application for live tweaking and debugging of a running application. While Monkey Bench itself mostly acts as a plugin container, it simplifies the process of making custom debug & tweak tools specialized for certain applications.
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  • 7
    Process io tracing through syscalls with syslog logging. Similar to strace, but specialized.
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  • 8
    Ministral 3 3B Base 2512

    Ministral 3 3B Base 2512

    Small 3B-base multimodal model ideal for custom AI on edge hardware

    ...As the base pretrained model, it is not fine-tuned for instructions or reasoning, making it the ideal foundation for custom post-training, domain adaptation, or specialized downstream tasks. The model is fully optimized for edge deployment and can run locally on a single GPU, fitting in 16GB VRAM in BF16 or less than 8GB when quantized. It supports dozens of languages, making it practical for multilingual, global, or distributed environments. With a large 256k token context window, it can handle long documents, extended inputs, or multi-step processing workflows even at its small size.
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  • 9
    Electrical Wiring CAD is an extension on qcad community edition (http://www.ribbonsoft.com/qcad.html) specialized to deal with schematics of electrical wiring in house floors.
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  • 10
    EON is a specialized website development framework for the MMO EVE Online. It allows building in-game browser compatible sites without too much hassle and is intended for people with a little PHP knowledge.
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  • 11
    With the death of the Saffron UML software that so many developers were getting excited about, Actionscript 3 programmers are left without hope for an easy-to-access and specialized interface for developing UML Class diagrams that generate code stubs.
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  • 12
    Welcome to Molecubes! This project aims to develop open modular robotic framework envisioned as a universal, robust, and low cost alternative to a variety of specialized robots with fixed body structure and functions.
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  • 13
    Freeciv Greatturn

    Freeciv Greatturn

    Freeciv for massive multiplayer, daylong turns

    Greatturn is a specialized extension of Freeciv featuring daylong game turns with large amounts of human opponents per map. This allows for optimal timing to build up strategic plans and readapt them to the circumstances of each turn.
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  • 14
    Freeode

    Freeode

    Solve Differential Equations

    Freeode is a compiler for the SIML programming language. It is a specialized language to solve differential equations. The compiler creates a python program that uses Numpy and Scipy to do the numerical computations.
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  • 15
    NOTE: Project moved to GitHub: http://github.com/ditadxp The DITA Interchange Package (DXP) is used to create single-file (Zip-based) packages of DITA-based resources and their dependencies for ease of interchange and management. A DXP package uses a specialized DITA map to define the package manifest.
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  • 16
    Utilizing bot-net philosophy in a good way by packaging open source software into highly secured, ready-to-run specialized virtual machines and building infrastructure to manage them. Sort of IT Lego )))) We make IT simple!!!
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  • 17
    TouchFlowPro

    TouchFlowPro

    Elite typing engine with fatigue-aware analytics for professionals.

    TouchFlow Pro is a high-performance typing training platform designed for Medical, Legal, and Tech professionals. Breaking the "OK Plateau" requires more than games; it requires data-driven drills, kinesthetic memory encoding, and real-time fatigue monitoring. Our engine tracks your burst-to-drift ratio to detect cognitive fatigue before your error rate spikes, ensuring every minute of practice is high-quality. Perfect for specialists who rely on their hands for their livelihood.
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  • 18
    Grok-2.5

    Grok-2.5

    Large-scale xAI model for local inference with SGLang, Grok-2.5

    Grok-2.5 is a large-scale AI model developed and released by xAI in 2024, made available through Hugging Face for research and experimentation. The model is distributed as raw weights that require specialized infrastructure to run, rather than being hosted by inference providers. To use it, users must download over 500 GB of files and set them up locally with the SGLang inference engine. Grok-2.5 supports advanced inference with multi-GPU configurations, requiring at least 8 GPUs with more than 40 GB of memory each for optimal performance. ...
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  • 19
    Inkling-Small

    Inkling-Small

    Efficient multimodal MoE model for coding, tools, and reasoning

    ...The model uses a sparse Mixture-of-Experts architecture with 276B total parameters and 12B active per token, enabling strong performance with lower inference cost than a fully dense model of similar scale. Its 42-layer decoder routes each token through six of 256 specialized experts plus two shared experts, while hybrid local and global attention supports efficient processing. Inkling-Small performs strongly across software engineering, tool use, mathematics, vision, and audio benchmarks, including 80.2% on SWE-Bench Verified and 95.5% on AIME 2026.
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  • 20
    MiMo-V2.5

    MiMo-V2.5

    Omnimodal AI model for agents, coding, and long-context tasks

    ...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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  • 21
    Mellum-4b-base

    Mellum-4b-base

    JetBrains’ 4B parameter code model for completions

    ...While the base model is not fine-tuned for downstream tasks, it is designed to be easily adapted through supervised fine-tuning (SFT) or reinforcement learning (RL). Benchmarks on RepoBench, SAFIM, and HumanEval demonstrate its competitive performance, with specialized fine-tuned versions for Python already showing strong improvements.
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  • 22
    Mistral Large 3 675B Instruct 2512 Eagle

    Mistral Large 3 675B Instruct 2512 Eagle

    Speculative-decoding accelerator for the 675B Mistral Large 3

    ...Built on the same frontier-scale multimodal Mixture-of-Experts architecture, it complements a system featuring 41B active parameters and a 2.5B-parameter vision encoder. The Eagle variant is specialized rather than standalone, serving as a performance accelerator for production-grade assistants, agentic workflows, long-context applications, and retrieval-augmented reasoning pipelines. It supports the same multilingual, system-prompt-aligned, and function-calling behavior as the main instruct model when used in the recommended server-client configuration.
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  • 23

    Cake Fuzzer

    Security testing tool for CakePHP based web applications

    Cake Fuzzer is an open-source project meant to help automatically and continuously discover vulnerabilities in web applications created based on specific frameworks with very limited false positives. Currently, it is implemented to support the Cake PHP framework. Cake Fuzzer is based on the concept of Interactive Application Security Testing (IAST). The goals of the project are: - create an automated process of discovering vulnerabilities in applications based on the CakePHP Framework; -...
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  • 24
    Ministral 3 8B Base 2512

    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...
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  • 25
    Ministral 3 14B Base 2512

    Ministral 3 14B Base 2512

    Powerful 14B-base multimodal model — flexible base for fine-tuning

    Ministral 3 14B Base 2512 is the largest model in the Ministral 3 line, offering state-of-the-art language and vision capabilities in a dense, base-pretrained form. It combines a 13.5B-parameter language model with a 0.4B-parameter vision encoder, enabling both high-quality text understanding/generation and image-aware tasks. As a “base” model (i.e. not fine-tuned for instruction or reasoning), it provides a flexible foundation ideal for custom fine-tuning or downstream specialization. The...
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