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DBN++ Data Structures and Algorithms in C++ for Dynamic Bayesian Networks
The deeplearning algorithms implemented by tensorflow
Binary Decision Diagrams (BDDs) in pure Python and Cython wrappers of CUDD, Sylvan, and BuDDy
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
GPU accelerated Deep Belief Network
The software includes a dynamic bayesian network with genetic feature space selection, includes 5 econometric data.frames with 263 time series.
Uncover the secrets of deep learning with FashionDBN - implementing PyTorch's Deep Belief Network for accurate image classification and beyond.
A repository for generating synthetic data (images) using various DL/ML models.