Topic: adjoint Goto Github
Some thing interesting about adjoint
Some thing interesting about adjoint
adjoint,Goal Oriented Adaptive Lagrangian Mechanics
User: bgranzow
adjoint,Python package for solving implicit heat conduction
User: brmather
Home Page: https://brmather.github.io/conduction/
adjoint,TCLB - Templated MPI+CUDA/CPU Lattice Boltzmann code
Organization: cfd-go
Home Page: https://tclb.io
adjoint,Approximation algorithm to solve Optimal Control problems using the Adjoint Method. Assumes your controller is based on a parametric model. Uses Forward-Backward-Sweep adjoint method.
User: choward1491
adjoint,A shock-capturing adjoint solver for the compressible flow equations
Organization: comp-physics
adjoint,An adjointable cardiac mechanics data assimilator.
Organization: computationalphysiology
Home Page: https://computationalphysiology.github.io/pulse_adjoint/.
adjoint,Create animations, plots, and calculate summary statistics for MITgcm adjoint output
User: danijonesocean
adjoint,A Pytorch implementation of the radon operator and filtered backprojection with, except for a constant, adjoint radon operator and backprojection.
User: drghannah
adjoint,Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
Organization: fancompute
Home Page: https://arxiv.org/abs/1811.01255
adjoint,:shrimp: Electromagnetic Simulation + Automatic Differentiation
Organization: fancompute
Home Page: https://doi.org/10.1021/acsphotonics.9b01238
adjoint,Julia interface to MITgcm
User: gaelforget
Home Page: https://gaelforget.github.io/MITgcm.jl/dev/
adjoint,A suite of photonic inverse design challenge problems for topology optimization benchmarking
Organization: google
Home Page: https://doi.org/10.1021/acsphotonics.2c00313
adjoint,Differentiable interface to FEniCS for PyMC3
User: ivanyashchuk
adjoint,Differentiable interface to FEniCS for JAX
User: ivanyashchuk
adjoint,Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
User: ivanyashchuk
adjoint,Differentiable interface to Firedrake for JAX
User: ivanyashchuk
adjoint,Easy interoperability with Automatic Differentiation libraries through NumPy interface to FEniCS adjoint
User: ivanyashchuk
adjoint,Automatic differentiation of FEniCS and Firedrake models in Julia
User: ivanyashchuk
adjoint,1D Heat Equation Model Problem for Field Inversion and Machine Learning Demonstration
User: jholland1
adjoint,Combinatorial algorithms in bioinformatics - Adjoint Graph
User: kubawajs
adjoint,DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization
Organization: mdolab
Home Page: https://dafoam.github.io
adjoint,Reverse-mode automatic differentiation with delimited continuations
User: ocramz
adjoint,Goal-oriented error estimation and mesh adaptation for finite element problems solved using Firedrake
Organization: pyroteus
adjoint,A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLSensitivity/stable/
adjoint,Workshop materials for training in scientific computing and scientific machine learning
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLWorkshop/stable/
adjoint,A library for high-level algorithmic differentiation
Organization: tlm-adjoint
Home Page: https://tlm-adjoint.github.io/
adjoint,Adjoint-based optimization and inverse design of photonic devices.
User: twhughes
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