Bruno S. Silva (brunossgf)

brunossgf

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Company:Federal University of Pará

Location:Belém, Brazil

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Bruno S. Silva's starred repositories

styleguide

Style guides for Google-originated open-source projects

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dlbook_notation

LaTeX files for the Deep Learning book notation

Enzyme

High-performance automatic differentiation of LLVM and MLIR.

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jupyter-c-kernel

Minimal Jupyter C kernel

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wavetorch

🌊 Numerically solving and backpropagating through the wave equation

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fprettify

auto-formatter for modern fortran source code

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ceviche

:shrimp: Electromagnetic Simulation + Automatic Differentiation

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vscode-fortran-support

Fortran language support for Visual Studio Code

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ProximalOperators.jl

Proximal operators for nonsmooth optimization in Julia

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PEIP

MATLAB code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems

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jupyter-fortran-kernel

Minimal Jupyter Fortran kernel

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teaching-computational-geophysics

Additional material for computational geophysics course

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recreational_mathematics_with_python

Short python samples of recreational mathematics.

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python-fortran

Python-Fortran bindings examples

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python-notebooks

Scientific Computing with Python for beginners.

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fortran-vs-python

A cheatsheet of Fortran syntax for Python programmers

Examples

Examples using COFII, the Chevron Optimization Framework for Imaging and Inversion.

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FirstOrderSolvers.jl

Large scale convex optimization solvers in julia

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Devito-Examples

Set of seismic modeling and inversion examples using Devito for different wave equations.

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fortran-vs-julia

Fortran-Julia syntax comparison and Maxwell Solver in 2D using Yee numerical scheme and MPI topology

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ftvd

Python implementation of "A New Alternating Minimization Algorithm for Total Variation Image Reconstruction"

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Time-domain-seismic-wave-modeling-using-PINN

This repository gives the codes for numerical solver independent seismic wave simulation using Task-decomposed Physics-informed Neural Networks.

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Image-Inverse-Problems-Algorithms

Collection of inverse problems in image processing via Alternating Direction Method (ADM), Alternating Minimization Method (AMA), Group Sparse signal denoising and Majorization-Minimization optimization based image/signal processing

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demo_lbfgs_trn

Template for nonlinear optimization using l-BFGS and Newton-CG

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