Reimplementations of some normalizing flow algorithms using tensorflow 2.1 and tensorflow probability 0.9
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Updated
Feb 19, 2020 - Jupyter Notebook
Reimplementations of some normalizing flow algorithms using tensorflow 2.1 and tensorflow probability 0.9
msThesis
A shock-capturing adjoint solver for the compressible flow equations
Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
is a tiny library for topology optimization using Lattice Boltzmann method (LBM).
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Julia interface to MITgcm
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design
Advanced Multilanguage Interface to CVODES and IDAS
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
MACH: MDO of Aircraft Configurations with High fidelity
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