Showing 5 open source projects for "define"

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  • 1
    CGraph

    CGraph

    A general, three-party dependency-free, cross-platform

    CGraph is a high-performance, cross-platform Directed Acyclic Graph (DAG) framework implemented in pure C++ with no third-party dependencies, designed for building complex task pipelines and parallel execution workflows. It allows developers to model computational processes as graph structures, where nodes represent tasks and edges define dependencies, enabling efficient scheduling and execution. The framework includes a pipeline system that supports sequential and parallel execution, conditional branching, aggregation, and loop control, making it highly flexible for advanced workflows. Developers can extend the system by defining custom nodes and grouping them into logical structures, allowing fine-grained control over execution behavior. ...
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  • 2
    BehaviorTree.CPP

    BehaviorTree.CPP

    C++ behavior tree library for robotics and AI decision systems

    BehaviorTree.CPP is a C++ library designed to create, manage, and execute behavior trees, a widely used model for decision-making in robotics and artificial intelligence systems. It provides a flexible and modular framework that allows developers to define complex behaviors as reusable tree structures composed of nodes. BehaviorTree.CPP emphasizes performance and real-time execution, making it particularly suitable for robotics applications where responsiveness is critical. It supports asynchronous actions, enabling long-running tasks without blocking the execution of the entire tree. ...
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  • 3
    3FS

    3FS

    A high-performance distributed file system

    ...Its primary aim is to support efficient and scalable feature transformation pipelines—especially for inference environments—by batching, caching, and integrating feature-based modules like segmenters, sparse retrievers, and scorers seamlessly. The repo includes APIs to define components (e.g. seg, ret, scor) that wrap or interface with external or internal modules, as well as logic to schedule and compose these feature transforms. By handling caching and batching at a system level, 3FS helps reduce overhead when many features or modules must be evaluated per input (e.g. in an LLM agent pipeline). The repository includes example integration with models like DeepSeek-V2 / V3, showing how 3FS can be plugged into pipelines for operations like plugin processing.
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  • 4
    Diplomacy Cicero

    Diplomacy Cicero

    Code for Cicero, an AI agent that plays the game of Diplomacy

    ...The codebase is implemented primarily in Python with performance-critical components in C++ (via pybind11 bindings) and is configured to run in a high‐GPU cluster environment. Configuration is managed via protobuf files to define tasks such as self-play, benchmark agent comparisons, and RL training. The project is now archived and read-only, reflecting that it is no longer actively developed but remains publicly available for research use.
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  • 5

    CLIPSwl

    CLIPS with lock support. CLIPS for safely handling simultaneous access

    ...CLIPSwl doesn't use complicated logic such as platform-independent mutex, but newly defines 4 abstract functions (i.e. using function pointers) for allocating, acquiring, releasing and deallocating locks of the environment data. Users may define their own functions that fit for their system by using their platform-dependent mutex. CLIPSwl also support the safe string-related functions treating the rules, and refining the warning parts of the code when compiling with gnu g++ compiler.
    Downloads: 0 This Week
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