- ๐ Hi, Iโm @TUstudents
- ๐ Iโm interested in ML
- ๐ฑ I have a background in physics
- ๐๏ธ I do a lot of chemometrics, spectroscopy and process analytical technology
Currently interested in Gaussian Process Modelling
Name: TUstudents
Type: User
Bio: ML enthusiast
Location: Austria
Currently interested in Gaussian Process Modelling
๐ A collaborative list of awesome tools for spectroscopy. Also, check:
Bayesian Optimization and Design of Experiments
Smiles, Mordred, RDKIT
Integrate your chemometric tools with scikit-learn standards ๐งช ๐ค
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Deep Learning models applied to the analysis of VIS-NIR spectral data
Deep learning for rapid characterization of porous materials
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
A Library for Gaussian Processes in Chemistry
Codes and demo for the paper Self-supervised Learning of Hologram Reconstruction using Physics Consistency
Code to build a probabilistic predictive model for HSP
Introduction to Scientific Computing with Python
Code and results for Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Matlab Dynamics and Control
The chemometrical package for python
OPC UA Server for Mettler Toledo Scales
Community-Maintained Version of mordred
Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
Sample code for "Predicting polymer-solvent miscibility using machine-learned Flory-Huggins interaction parameters
Machine Learning for Engineers
Open Source Hardware and Software for PAT in Pharma
A numerical platform for the digital design of pharmaceutical processes
Physical Symbolic Optimization
Tutorial repository of introduction to porous materials using MATLAB
Practical Cheminformatics Tutorials
Image reconstruction and data processing for spectral-domain optical coherence tomography
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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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.
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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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.