roflmaostc/Fast-Approximate-Energy-Minimization-via-Graph-Cuts

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Created about 7 years ago
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roflmaostc/Fast-Approximate-Energy-Minimization-via-Graph-Cuts

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Minimize Energy in Images.

DeconvOptim.jl

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

Noise.jl

A Julia package for adding different kinds of noise to signals like time series or images.

RadonKA.jl

A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...

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A package for FFT based interpolations of N-dimensional arrays.

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Calculations to reproduce the results from "J. Nold, P. Hölzer, N. Y. Joly, G. K. L. Wong, A. Nazarkin, A. Podlipensky, M. Scharrer, and P. S. Russell. “Pressure-controlled phase matching to third harmonic in Ar-filled hollow-core photonic crystal fiber"

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Differentiable, CUDA supported, image rotation algorithm in Julia.

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Pong Implementation using OCaml

AdventOfCode2021.jl

https://adventofcode.com/

Finite-Difference-Mode-Solver

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Package to evaluate and displaying exam results

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Visually looking at data - differently said: a simple image viewer

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Some fun with OCaml. See here https://ocaml.org/learn/tutorials/99problems.html

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Julia Implementation of PtyLab

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