roflmaostc/DeconvOptim.jl
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.
JuliaMIT
Issues
- 1
automatic differentiation support?
#51 opened by stevengj - 0
Links to docs broken
#50 opened by jrkager - 16
TagBot trigger issue
#4 opened by JuliaTagBot - 12
Misleading `generate_psf` function
#44 opened by kunzaatko - 0
Extrema instead of minimum and maximum
#37 opened by roflmaostc - 2
Implement proper Callback for NCC value
#29 opened by roflmaostc - 0
Update examples
#36 opened by roflmaostc - 0
Anscombe default value
#34 opened by roflmaostc - 0
@avxt LoopVectorization for loss functions
#26 opened by roflmaostc - 0
- 0
FFTW flags measure instead of estimate
#27 opened by roflmaostc - 0
Ideas for Speedup
#28 opened by roflmaostc - 0
Mapping gradient wrong
#22 opened by roflmaostc - 0
Consistent name notation for loss functions
#18 opened by roflmaostc - 1
Good's roughness
#16 opened by roflmaostc - 2
conv_psf doubling due to FourierTools package
#17 opened by renerichter - 0
Allow to edit `fft_dims`
#14 opened by roflmaostc - 0
Try Different LineSearch Algorithms
#11 opened by roflmaostc - 0
Check code with @code_warntype
#12 opened by roflmaostc - 0
GR together with padding produces bad results
#2 opened by roflmaostc - 1
FFTW use measure instead of estimate
#10 opened by roflmaostc - 0
Quick Example Artifacts
#3 opened by roflmaostc