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awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models

basic-pinn

Basic implementation of physics-informed neural networks for solving differential equations

cogs18_22

convex-hull

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)

d2l-en

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-interviews

Data science interview questions and answers

deep-image-prior

Image restoration with neural networks but without learning.

deep-speckle-correlation

python implementation of Deep speckle correlation: a deep learning approach towards scalale imaging through scattering media

deeplearning-models

A collection of various deep learning architectures, models, and tips

diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

discrete_frechet

Compute the Fréchet distance between two polygonal curves in Euclidean space.

dl4miceverywhere

Bringing the ZeroCostDL4Mic experience running everywhere via easy-to-install docker images

edx-dl

A simple tool to download video lectures from edx.org (and other openedx sites)

enlighten

Open-source spectroscopy application for controlling and taking measurements from Wasatch Photonics spectrometers.

fast-srgan

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

gans

GANs in slanted land

haziness

Image Haziness Contrast Metric Describing Optical Scattering Depth

jupyter_dock

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.

machine_learning_examples

A collection of machine learning examples and tutorials.

miepython

Mie scattering of light off perfect spheres in python

model-eval-article-supplementary

Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"

multivariatestudysimulation

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'

oct-mps

Massively Parallel Simulator of Optical Coherence Tomography of Inhomogeneous Turbid Media (OCT-MPS)

oct_mc

Monte-Carlo simulation of an FD-OCT B-Scan.

pcamath

Visual derivation of PCA using spectra

photon

A Python-based Hyperparameter Optimization Toolbox for Neural Networks is designed to accelerate and simplify the construction, training, and evaluation of machine learning models.

plot2spec

an automatic plot digitizer for spectroscopy images (i.e. XANES and Raman)

pyobjcryst

Python bindings to ObjCryst++ Object-Oriented Crystallographic Library

ramanspy

RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis

regressions

A Python package that implements various regression algorithms, including Partial Least Squares and Principal Components Regression