Showing 295 open source projects for "github windows 7"

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  • 1
    Tired of spending hours of sleep tuning you Robocode Bot? Your bot is full of constants that if wrong tuned would let to awfull performances? BotOptimizer will help you tune the bot, allowing you to define also your optimization algorithm.
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  • 2
    Unit tests-based Genetic Programming in Java. The developer specifies unit tests, and the tool will use GP to evolve software that passes those tests.
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  • 3
    Grok is a library of natural language processing components, including support for parsing with categorial grammars and various preprocessing tasks such as part-of-speech tagging, sentence detection, and tokenization.
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  • 4
    The DragonBreath Engine is a constraint solver based on local search. It features real-time computation, handling of dynamics, structural constraint satisfaction, and an easy way to include domain-specific knowledge.
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  • 5
    Leo is a project to provide an architecture for defining XML specifications of grammars for different natural language parsing systems and tools for using that architecture to permit sharing of grammar resources across different systems.
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  • 6
    The goal of this project is to learn about and develop an AI. Current path is using a bot on AIM.
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  • 7
    It's a network oriented RPG, based on an open-ended artificial society simulation engine. Every character has an AI and acts autonomously; they born, live and die, mate, figth and form parties. The game runs by itself: players can control characters.
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  • 8
    A Java application for statistical analysis and systematic manipulation of natural language texts.
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  • 9

    Traveling Agents

    This project is closed.

    The goal is to build a Mobile Agents System which is flexible, easy to extend, secure and open. A Mobile Agent is able to travel from one system to another while executing.
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  • 10
    MiniMax-M2.7

    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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  • 11
    Kimi K2.7 Code

    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...
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  • 12
    AICrowd is a application for simulating a crowd of independent and autonomous agents in a complex world. This project aims to have educative purposes, showing basic AI techniques applied to the control of agents in games or other areas.
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  • 13
    Leni is an experimental human language recognition and processing tool which is based on learning and therefore nearly independent on any particular spoken language.
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  • 14
    OpenVLA 7B

    OpenVLA 7B

    Vision-language-action model for robot control via images and text

    OpenVLA 7B is a multimodal vision-language-action model trained on 970,000 robot manipulation episodes from the Open X-Embodiment dataset. It takes camera images and natural language instructions as input and outputs normalized 7-DoF robot actions, enabling control of multiple robot types across various domains. Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model...
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  • 15
    BLEURT-20-D12

    BLEURT-20-D12

    Custom BLEURT model for evaluating text similarity using PyTorch

    BLEURT-20-D12 is a PyTorch implementation of BLEURT, a model designed to assess the semantic similarity between two text sequences. It serves as an automatic evaluation metric for natural language generation tasks like summarization and translation. The model predicts a score indicating how similar a candidate sentence is to a reference sentence, with higher scores indicating greater semantic overlap. Unlike standard BLEURT models from TensorFlow, this version is built from a custom PyTorch...
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  • 16
    wav2vec2-large-xlsr-53-portuguese

    wav2vec2-large-xlsr-53-portuguese

    Portuguese ASR model fine-tuned on XLSR-53 for 16kHz audio input

    wav2vec2-large-xlsr-53-portuguese is an automatic speech recognition (ASR) model fine-tuned on Portuguese using the Common Voice 6.1 dataset. It is based on Facebook’s wav2vec2-large-xlsr-53, a multilingual self-supervised learning model, and is optimized to transcribe Portuguese speech sampled at 16kHz. The model performs well without a language model, though adding one can improve word error rate (WER) and character error rate (CER). It achieves a WER of 11.3% (or 9.01% with LM) on Common...
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  • 17
    Qwen2.5-VL-7B-Instruct

    Qwen2.5-VL-7B-Instruct

    Multimodal 7B model for image, video, and text understanding tasks

    Qwen2.5-VL-7B-Instruct is a multimodal vision-language model developed by the Qwen team, designed to handle text, images, and long videos with high precision. Fine-tuned from Qwen2.5-VL, this 7-billion-parameter model can interpret visual content such as charts, documents, and user interfaces, as well as recognize common objects. It supports complex tasks like visual question answering, localization with bounding boxes, and structured output generation from documents. The model is also...
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  • 18
    Reputation-Sentinel-OS-v3

    Reputation-Sentinel-OS-v3

    Autonomous n8n framework for real-time brand protection & AI analysis.

    Reputation Sentinel OS v3.0: Autonomous Brand Defense Infrastructure Sentinel OS v3.0 is a sovereign AI framework for brand protection and automated response. Built on n8n with a massive 1,500+ logic nodes architecture, it offers depth and privacy far beyond traditional SaaS. Total Data Sovereignty: Unlike expensive monthly platforms, Sentinel OS runs on your own infrastructure. You own your data and your brand's defense. Key Capabilities: Omni-Channel: 24/7 autonomous tracking...
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  • 19
    firecycle-command-center-free

    firecycle-command-center-free

    FIRECYCLE® Command Center Territorial intelligence, wildfire prevent.

    FIRECYCLE® Command Center - Free es una plataforma de código abierto impulsada por IA para la prevención de incendios forestales, restauración de ecosistemas y gestión de emergencias territoriales. Proporciona un núcleo de inteligencia territorial que permite a equipos de respuesta e investigadores recopilar evidencia, monitorear riesgos y coordinar esfuerzos de restauración en tiempo real. Características: Inteligencia territorial para evaluación de riesgos. Gestión de evidencia...
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  • 20
    lastest

    lastest

    AI-supported visual verification and tests you can actually trust.

    Lastest.cloud is a free, open-source verification of development, self-hosted visual regression and end-to-end testing platform for web applications. An AI agent records you clicking through your running app and generates Playwright tests with multi-selector fallback. Replays are deterministic and token-free, so your CI/CD bill doesn't scale with your test suite. Lastest ships three diff engines side-by-side — pixel (pixelmatch), structural (SSIM), and perceptual (Butteraugli) — so...
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