Inverse Quasi-Symmetric Stellarator Construction with MiXture Density Networks
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Updated
Jun 24, 2024 - Python
Inverse Quasi-Symmetric Stellarator Construction with MiXture Density Networks
Stellarator Equilibrium and Optimization Suite
An open source Python package for plasma research and education
Reference implementation for the Hasegawa-Wakatani model of plasma turbulence inside nuclear fusion reactors in two dimensions
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Simons Stellarator Optimizer Code
Code for MICCAI Workshop 2019 paper "Structural Similarity based Anatomical and Functional Brain Imaging Fusion"
SA-DNet is an end-to-end Semantic-Aware on-Demand registration-fusion network. SA-DNet can specify registration and fusion regions based on semantic information, achieving on-demand conceptualization.
VRFF is a Video Registration and Fusion Framework. VRFF effectively alleviates the flickering issues in video stream fusion.
A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data
Transfer learning nonlinear plasma dynamic transitions in neural encoder-decoder network
Project for an open-source python library for synthetic diagnostics and tomography for Fusion devices
Correct drone, aerial and satellite imagery to surface reflectance.
Python tools for constructing meshes and geometry matrices used in tomography problems
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
One Fusion 360 add-in to rule them all
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