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2 dépôts

Awesome GitHub RepositoriesSystems Modeling

Mathematical and physics-based simulations for estimating performance, cost, and reliability of architectures.

Distinct from System Reliability Principles: Distinct from System Reliability Principles: focuses on predictive modeling and simulation rather than general reliability theory.

Explore 2 awesome GitHub repositories matching software engineering & architecture · Systems Modeling. Refine with filters or upvote what's useful.

Awesome Systems Modeling GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • harvard-edge/cs249r_bookAvatar de harvard-edge

    harvard-edge/cs249r_book

    20,217Voir sur GitHub↗

    This project is a comprehensive educational framework designed to teach the design, deployment, and performance optimization of machine learning systems. It provides a structured curriculum that covers the full stack of artificial intelligence engineering, ranging from the construction of core framework components like tensors and automatic differentiation engines to the orchestration of large-scale distributed training clusters. The platform distinguishes itself through its integration of physics-grounded systems modeling and interactive simulation environments. Users can experiment with dis

    Uses mathematical models and first-principles calculations to estimate performance, cost, and reliability of hardware architectures.

    JavaScriptartificial-intelligencecloud-mlcomputer-systems
    Voir sur GitHub↗20,217
  • robotlocomotion/drakeAvatar de RobotLocomotion

    RobotLocomotion/drake

    3,910Voir sur GitHub↗

    Drake is a robotics simulation framework and control system modeling tool used for designing, simulating, and verifying the dynamics of complex robotic systems. It functions as a multibody dynamics simulator and a mathematical optimization library, providing a suite of algorithms for trajectory optimization and the simulation of articulated robots. The framework is distinguished by its block-diagram system for composing dynamical subsystems and its ability to formulate and solve diverse mathematical programs, including linear, quadratic, and nonconvex nonlinear problems. It supports specializ

    Constructs robotic systems by combining integrators, physics models, sensors, and controllers into a unified model.

    C++drakerobotics
    Voir sur GitHub↗3,910
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  4. Systems Modeling

Explorer les sous-tags

  • Stochastic System ModelingModeling of dynamical systems that incorporate inherent randomness or probabilistic behavior. **Distinct from Systems Modeling:** Specific to the modeling of randomness in system behavior, distinct from general reliability or optimization algorithms like SGD.