Chemometric analysis methods implemented in python

Simple, unified interface to multiple Generative AI providers

An Aspiring Drop-In Replacement for NumPy at Scale

Animation engine for explanatory math videos

Snippets and data from the blog of Nirpy Research

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

Design-of-experiment (DOE) generator for science, engineering, and statistics

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

python toolkit for calibration of near infrared ( NIR) spectra

Python library of 2-dimensional matrix algorithms.

Open-source ChatGPT equivalent experience for both open and close source LLMs, embedders, and vector databases. Supports unlimited documents, threads, and concurrent users and management all in a v…

A collaborative book on algorithms

A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

A hyperparameter optimization framework

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

MAE-NIR is a sophisticated machine learning model tailored for the enhancement and analysis of near-infrared spectral data. The code implements the MAE-NIR framework for enhancing NIR spectral data…

Automated Machine Learning with scikit-learn

A library of extension and helper modules for Python's data analysis and machine learning libraries.

PyTorch implementation of deep learning for Raman spectrum recognition: CNN, LSTM, GNN and contrastive learning

NumPy & SciPy for GPU

🍊 📊 💡 Orange: Interactive data analysis

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

A Parameter-Free Framework for Calibration Enhancement of Near-Infrared Spectroscopy Based on Correlation Constraint

A simple Python implementation of R-PCA

Deep Learning models applied to the analysis of VIS-NIR spectral data