J. de Curtò's repositories
learning_with_signatures
Learning with Signatures
signatures
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs.
c
Curtó & Zarza is the first GAN (Generative Adversarial Networks) augmented dataset of faces. A key step towards Artificial General Intelligence (AGI).
Language:Python000
ce4
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang’E-4
Language:Shell000
cyz
CyZ: MARS Space Exploration Dataset.
Language:Python000
dr_of_crosswise
Doctor of Crosswise: Reducing Over-parametrization in Neural Networks.
Language:Python000
drcyz
DrCyZ: Techniques for analyzing and extracting useful information from CyZ.
Language:Jupyter Notebook000
graphics
Graphics. High-resolution Deep Convolutional Generative Adversarial Networks.
Language:PythonMIT000
mckernel
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
Language:C++MIT000