Search Results for "mac framework" - Page 50
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Showing 1262 open source projects for "mac framework"
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The Behavioral Layers Library is a framework for creating AI agents. It is based on the idea of behavior decomposition. Simple behaviors are composed together to create more complex solutions. Layers can be hierarchical & used as actions in other layers
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A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
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An artificial intelligance framework using partitial order planning for C++. A set of classes that provide means for computer software to do simple planning to achieve a goal. Here we use predicate logics to tell the planner our current situation, out
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Establishing a model of the concept of game, in order to offer a framework that might be used to simulate any kind of game. Ultimate goal : awakening AI thanks to games.
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Extensible agent framework with the ability to perform common tasks such as notify you when you have a mail, or a message in your phone, or some web or file has change... A kind of automated webapp secretary.
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Socker is a framework for development of teams in the simulated robocup. The framework supports different types of agent architectures and works with soccer server 8.x
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Tourk is a framework for developing programming games, where two (or more) people write game playing code (like Deep Blue) and a controller puts the two against each other.
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Fungus is a framework for distributed simulation by multi-agents. It uses a very modular architecture. A GUI is provided. In our model, everything is Agent. Even the environnement. You have an access to the communication's 'canals'.
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pySPACE
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due... -
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Lightweigh framework to create expert systems, written in Perl. INFeReNCZy is an approach to Artificial Intelligence and Knowledge Base Systems. With only a few simple perl modules, INFeReNCZy gives the oportunity to develop and run rulesets.
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Ornith-1.0
Open reasoning model for agentic coding and tool workflows
Ornith-1.0 is a large open-source reasoning model from DeepReinforce, built for agentic coding, tool use, and complex software engineering workflows. It is part of the Ornith 1.0 family, which includes dense and MoE models post-trained on Gemma 4 and Qwen 3.5. The model focuses on coding-agent performance across benchmarks such as Terminal-Bench, SWE-Bench, NL2Repo, OpenClaw, and ClawEval. Its training uses a self-improving reinforcement learning framework that optimizes not only solution... -
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Nemotron 3 Nano
LL model providing reasoning and conversational capabilities
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 is a mid-sized open large language model created by NVIDIA to provide strong reasoning and conversational capabilities while maintaining efficient deployment requirements. The model contains roughly 30 billion parameters and is designed to balance performance and computational efficiency, making it suitable for developers building AI applications that cannot run extremely large models. It is trained from scratch and built using a hybrid architecture that... -
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Project Ego
A .NET framework for the game of diplomacy.
A .NET framework for the game of diplomacy. It will provide a mapper, server/tournament manager and an easily alterable client amongst other helpful tools. -
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DeepSeek-V3.2-Speciale
High-compute ultra-reasoning model surpassing model surpassing GPT-5
DeepSeek-V3.2-Speciale is the high-compute, ultra-reasoning variant of DeepSeek-V3.2, designed specifically to push the boundaries of mathematical, logical, and algorithmic intelligence. It builds on the DeepSeek Sparse Attention (DSA) framework, delivering dramatically improved long-context efficiency while preserving full model quality. Unlike the standard version, Speciale is tuned exclusively for deep reasoning and therefore does not support tool-calling, focusing its full capacity on... -
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An extensible framework for writing programs that involve evolutionary computation and physical simulations.
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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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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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This project is an implementation of a computational framework that addresses general-interest low-level problems such as real-time synchronization, sound communication and spatial agent mobility.
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Nex-N2-mini
Compact agentic model for coding, tools, and productivity tasks
Nex-N2-mini is an open-source agentic model from Nex AGI designed for real-world productivity, coding, tool use, deep research, and terminal-based execution. Built on Qwen3.5-35B-A3B-Base, it offers a lighter latency and deployment profile than Nex-N2-Pro while preserving the core Nex-N2 “Agentic Thinking” framework. This framework unifies requirement understanding, planning, code implementation, environmental feedback, debugging, evaluation, and iteration into a closed loop. It uses... -
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DeepSeek-V3.2
High-efficiency reasoning and agentic intelligence model
DeepSeek-V3.2 is a cutting-edge large language model developed by DeepSeek-AI, focused on achieving high reasoning accuracy and computational efficiency for agentic tasks. It introduces DeepSeek Sparse Attention (DSA), a new attention mechanism that dramatically reduces computational overhead while maintaining strong long-context performance. Built with a scalable reinforcement learning framework, it reaches near-GPT-5 levels of reasoning and outperforms comparable models like DeepSeek-V3.1... -
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A chatbot framework currently implementing the ErkiTalk and irc protocol. By specifying parsers for the server's input one can easily create custom bots (if one can program in java of course ;).
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GASPAR implements an dialectical argumentation framework for instantiating the artificial intellect of a software agent. In this artilect, motivations are represented in mental faculties which argue why and how these motivations can be adopted.
