JakubMartinka/Fulvene-ML-FSSH

Repository associated with article "A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors"

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dralgroup/mlatom

AI-enhanced computational chemistry

Language: Python - Size: 196 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 93 - Forks: 14

lsorber/neo-ls-svm

Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation

Language: Python - Size: 321 KB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 3

elcorto/pwtools

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.

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elcorto/gp_playground

Explore selected topics related to Gaussian processes

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qin-yu/julia-regression-boston-housing

Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset

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Arif-PhyChem/MLQD

MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics

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AntoniaSavu/Kernel-Based-Molecular-ML-For-Vector-Valued-Properties

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AmishaSomaiya/Machine-Learning

Machine Learning Code Implementations in Python

Language: Python - Size: 36.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

MagneticResonanceImaging/PERK.jl

PERK: Parameter Estimation via Regression with Kernels

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BenjaminRueling/Red-Wine-Quality

Kernel-Methods on a Red-Wine Dataset

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kuulia/CODE

Part of Bachelor's Thesis: Feature engineering for machine learning predictions in atmospheric science. Main code for generating molecular descriptors and training Kernel Ridge Regression ML-model and testing.

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sudeshnapal12/Machine-Learning-algorithms-Matlab

Contains ML Algorithms implemented as part of CSE 512 - Machine Learning class taken by Fransico Orabona. Implemented Linear Regression using polynomial basis functions, Perceptron, Ridge Regression, SVM Primal, Kernel Ridge Regression, Kernel SVM, Kmeans.

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lukebella/SpotifyRegression

Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.

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nemolino/TrackPopularityPredictor

Statistical Methods for Machine Learning project

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SaharNasiri/housing-price-prediction

House Prices - Advanced Regression Techniques

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danielchristopher513/Stock_Prediction_Using_Machine_Learning

This repository contains code for predicting stock prices using various machine learning models. The models implemented include Linear Regression, SVM Regression, KNN Regression, Kernel Ridge Regression, and Ridge Regression.

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Kennethborup/self_distillation

Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression

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jakublala/alchemical-kernels

Pytorch implementation of Alchemical Kernels from Phys. Chem. Chem. Phys., 2018,20, 29661-29668

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binghuang2018/aqml

Amons-based quantum machine learning for quantum chemistry

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tjarkpr/software-project-fhwedel 📦

Lecture "Softwareprojekt" @FH-Wedel WS20

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tjarkpr/learning-soft-computing-fhwedel 📦

Lecture "Learning & soft computing" @FH-Wedel SS22

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nickcafferry/Machine-Learning-in-Molecular-Sciences

2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction, feature selection and clustering technology.

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superlj666/Distributed-Learning-with-Random-Features

Codes and experiments for paper "Distributed Learning with Random Features". Preprint.

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Arif-PhyChem/Quantum_dissipative_dynamics_with_kernel_methods

Speeding up quantum dissipative dynamics of open systems with kernel methods

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windhaunting/kernel_methods

kernel linear regression and svm for Creditcard and Tumor data

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butler-julie/SRE

Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning

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charumakhijani/advanced-house-price-prediction

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marcosdelcueto/Tutorial_KRR

Codes and images used for blog article at https://www.mdelcueto.com/blog/kernel-ridge-regression-tutorial/

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luansousac/monografia

This repository contains the source code of my bachelors' thesis.

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