nkourkou Goto Github PK
Name: Nikolaos Kourkoumelis
Type: User
Company: University of Ioannina
Bio: Kourkoumelis Research Group
Name: Nikolaos Kourkoumelis
Type: User
Company: University of Ioannina
Bio: Kourkoumelis Research Group
A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models
Basic implementation of physics-informed neural networks for solving differential equations
Continuum determination in spectroscopic data by means of topological concepts and Fourier filtering. Abstract: A novel implementation of a convex hull minimization algorithm for the determination of the continuum in x-ray and γ-ray spectroscopic data is presented in this paper. The method is semi-automatic, performed in three successive steps and requires user intervention regarding the values of two parameters. The first controls the low pass filtering and the second the reduction of the estimated points which construct the background. On the other hand, it does not rely on an explicit mathematical model of the background or the signal (FWHM, lineshapes) and keeps the original spectrum data unaltered. (https://doi.org/10.1016/j.nima.2012.06.061)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Data science interview questions and answers
Image restoration with neural networks but without learning.
python implementation of Deep speckle correlation: a deep learning approach towards scalale imaging through scattering media
A collection of various deep learning architectures, models, and tips
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Compute the Fréchet distance between two polygonal curves in Euclidean space.
Bringing the ZeroCostDL4Mic experience running everywhere via easy-to-install docker images
A simple tool to download video lectures from edx.org (and other openedx sites)
Open-source spectroscopy application for controlling and taking measurements from Wasatch Photonics spectrometers.
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
GANs in slanted land
Image Haziness Contrast Metric Describing Optical Scattering Depth
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
A collection of machine learning examples and tutorials.
Mie scattering of light off perfect spheres in python
Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
Code for manuscript in J Raman Spec, 'Reflections of the real-world in the unreal, using simulation to design complex real-world validation studies for spectroscopy'
Massively Parallel Simulator of Optical Coherence Tomography of Inhomogeneous Turbid Media (OCT-MPS)
Monte-Carlo simulation of an FD-OCT B-Scan.
Visual derivation of PCA using spectra
A Python-based Hyperparameter Optimization Toolbox for Neural Networks is designed to accelerate and simplify the construction, training, and evaluation of machine learning models.
an automatic plot digitizer for spectroscopy images (i.e. XANES and Raman)
Python bindings to ObjCryst++ Object-Oriented Crystallographic Library
RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis
A Python package that implements various regression algorithms, including Partial Least Squares and Principal Components Regression
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.