Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
Official implementation of "Normalizing flow neural networks by JKO scheme" (NeurIPS 2023 spotlight)
GenMM
SNU_Mathematical Foundations of Deep Neural Networks_HW
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
A framework for analysis and modeling of IP network flows. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001680
A GreenRoof class inherited from CMF (Catchment Modelling Framework), representing a physically based flow model (Darcy and Richards flow as well as diffusive wave routing for surface runoff).
Classification experiments of GenMM models
a python code to simulate 2D (x,z) flow problem with the modeling of velocity field and passive scalar field under tidal and inflow boundary conditions.
practice generative AI with MNIST
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