Generative framework for crystal structure prediction and de novo generation of inorganic crystals.
A simple test automation project designed to be scaled using the flow model pattern.
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).
Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
SNU_Mathematical Foundations of Deep Neural Networks_HW
Official implementation of "Normalizing flow neural networks by JKO scheme" (NeurIPS 2023 spotlight)
practice generative AI with MNIST
GenMM
Classification experiments of GenMM models
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 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.
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