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1. SparseMultiTaskBNN SparseMultiTaskBNN Public

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

   Python

2. 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

3. 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

4. ActiveLearning4RA ActiveLearning4RA Public

   A high-performance, production-ready Python framework for structural reliability analysis using active learning and Gaussian Process (Kriging) surrogate models.

   Python

5. 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 2

6. SU2-TurbCalib SU2-TurbCalib Public

   Modified SU2 v8.4.0 with runtime-configurable SA/SST turbulence closure coefficients for Bayesian calibration

   Python 1