Search Results for "artificial intelligence java source code" - Page 41
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1035 programs for "artificial intelligence java source code" with 1 filter applied:
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Deliver secure remote access with OpenVPN.OpenVPN's products provide scalable, secure remote access — giving complete freedom to your employees to work outside the office while securely accessing SaaS, the internet, and company resources.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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A straight-forward Java implementation of a mixture model with pluggable mixture functions, e.g. a mixture of Gaussian functions. The number and dimensionality of the mixture functions is not limited. All critical calculations are performed in log-space.
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Metafrastes is a natural language processing system that can take an input query from the user and translate that internally in order to communicate with a knowledge base in the form of an ontology.
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uealib
Evolutionary algorithms library
Фреймворк для работы с эволюционными алгоритмами, разрабатывается в Уральском государственном университете. -
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Crowdtesting That Delivers | TesteumTesteum connects your software, app, or website to a worldwide network of testers, delivering detailed feedback in under 48 hours. Ensure functionality and refine UX on real devices, all at a fraction of traditional costs. Trusted by startups and enterprises alike, our platform streamlines quality assurance with actionable insights.
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Tuffy is a scalable MLN inference engine.
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Karlsruhe Service Management Architecture (KASMA): KASMA is a new framework for the next generation Web services developed by Research Center for Computer Science, University of Karlsruhe.
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aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
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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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** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html
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Test your software product anywhere in the worldGlobal App Testing is a managed pool of freelancers used by Google, Meta, Microsoft, and other world-beating software companies.
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Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
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Sistema Gerenciador de Recursos Empresariais Utilizando Redes Neurais Artificiais. ---- Enterprise Resource Managing System Utilizing Artificial Neural Networks.
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A gui based man against machine poker (texas hold them) end user application which will deduce and adapt to the player's strategy.
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This project is intended to become an advanced software tool which will allocate resources for projects described by Gantt charts and rules, it also will try to create plans and schedules, based on templates, rules and historical information.
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Multilayer neural network sudoku generator that can be trained to produce puzzles with different degree of dificulty and imitate those made by people.
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SmolLM3
Multilingual 3B LLM optimized for reasoning, math, and long contexts
SmolLM3 is a 3.08B parameter decoder-only language model designed by Hugging Face to deliver high performance in reasoning, math, and multilingual understanding. Trained on 11.2T tokens with a curriculum of web, code, and mathematical data, it uses advanced features like GQA and NoPE. The model supports extended context lengths up to 128k tokens via YaRN extrapolation, making it highly suitable for long-context applications. It outperforms or rivals larger models like Qwen3 and LLaMA3... -
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DeepSeek-V3-0324
Advanced multilingual LLM with enhanced reasoning and code generation
DeepSeek-V3-0324 is a powerful large language model by DeepSeek AI that significantly enhances performance over its predecessor, especially in reasoning, programming, and Chinese language tasks. It achieves major benchmark improvements, such as +5.3 on MMLU-Pro and +19.8 on AIME, and delivers more executable, aesthetically improved front-end code. Its Chinese writing and search-answering capabilities have also been refined, generating more fluent, contextually aware long-form outputs. Key... -
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Generic engine to filter information. We wish to show that the power of expression of a filter makes it possible to appreciably reduce the size of the code necessary to extract information and that it is possible in Python.
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This projects implements various optimization heuristics and meta-heuristics (such as local search, VND, GRASP, Simulated Annealing, and more still to come) finding solutions on the post enrolment course timetabling problem.
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Interlogy - next generation knowledge storage and prezentation system. Gives wide functionality for knwoledge evaluation. Interlogy is the same as forum, wiki, chat, socialnetwork, but all together.
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GraphSpider is a pattern matcher which searches parsed text in phrase-structure tree or dependency graph format for syntactic structures matching a set of patterns in MPL, a regexp-like pattern language. Applications: information extraction, text mining.
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Devstral
Agentic 24B LLM optimized for coding tasks with 128k context support
Devstral-Small-2505 is a 23.6B parameter language model fine-tuned by Mistral AI and All Hands AI, built specifically for agentic software engineering tasks. Based on Mistral-Small-3.1, it supports a 128k context window and excels in exploring codebases, editing multiple files, and tool usage. The model achieves state-of-the-art open-source performance on SWE-Bench Verified with a score of 46.8%, surpassing much larger models. Devstral is designed for local and production-level deployments... -
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Meta-Llama-3-8B
Versatile 8B language model optimized for helpful, safe dialogue
...-following, reasoning, and code generation. It significantly outperforms previous Llama 2 models and many open-source alternatives on benchmarks like MMLU, GSM8K, and HumanEval. Designed with safety in mind, Llama 3 includes alignment via supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), and is backed by tools like Llama Guard 2 and Code Shield. The model is intended for commercial and research use, especially for building assistant-like chatbots. -
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gemma-7b
Compact, state-of-the-art LLM by Google for text generation tasks
Gemma-7B is a lightweight, open-source, decoder-only language model developed by Google, built using the same research and technology behind the Gemini family. With 8.5 billion parameters and an 8192-token context window, it is optimized for English text generation tasks like question answering, summarization, reasoning, and creative writing. Trained on 6 trillion tokens including web documents, code, and mathematical texts, Gemma-7B provides competitive performance across a wide range of NLP... -
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Solve Logic Word Puzzles with CLP
Constraint Logic can solve word logic puzzles.
Learn basic constraint logic programming by solving logic word puzzles. Go to http://eclipse.dougedmunds.com . This tutorial will show you how to solve easy 1 star to hard 5 star puzzles, using the eCLiPSe-CLP language (available at http://eclipseclp.org/). Don't confuse this programming language (a prolog language) with the IDE for Java. -
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OpenVLA 7B
Vision-language-action model for robot control via images and text
... supports real-world robotics tasks, with robust generalization to environments seen in pretraining. Its actions include delta values for position, orientation, and gripper status, and can be un-normalized based on robot-specific statistics. OpenVLA is MIT-licensed, fully open-source, and designed collaboratively by Stanford, Berkeley, Google DeepMind, and TRI. Deployment is facilitated via Python and Hugging Face tools, with flash attention support for efficient inference.
