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  • National Aeronautics and Space Administration
  • Beijing, China

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  1. Marine-Predators-Algorithm Marine-Predators-Algorithm Public

    This Python implementation of the Marine Predators Algorithm (MPA) is designed to solve both constrained and unconstrained optimization problems. The algorithm is inspired by the strategies of mari…

    Python 6

  2. SparseMultiTaskBNN SparseMultiTaskBNN Public

    Sparse Multi-Task Bayesian Neural Networks with Cluster-Based Active Learning

    Python

  3. TMCMC TMCMC Public

    基于 NumPy 实现的过渡马尔可夫链蒙特卡洛方法,用于贝叶斯推断和参数识别。

    Python 1

  4. Multi-Fidelity-Deep-Active-Learning Multi-Fidelity-Deep-Active-Learning Public

    基于JAX和Numpyro的多保真度贝叶斯深度学习框架,实现了自回归神经网络架构、不确定性量化以及基于DPP的多保真度主动学习方法。

    Python 1

  5. MCMC_library MCMC_library Public

    A pristine Python library that comprehensively incorporates the Likelihood-Based/Likelihood-Free Metropolis-Hastings Algorithm.

    Jupyter Notebook 1

  6. Bayesian-Validation-Metric Bayesian-Validation-Metric Public

    基于 NumPy 实现的贝叶斯验证度量方法,用于模型校准、验证和不确定性量化。

    Python