hkaneko1985 / lwplsLinks
Locally-Weighted Partial Least Squares (LWPLS)
☆22Updated 6 years ago
Alternatives and similar repositories for lwpls
Users that are interested in lwpls are comparing it to the libraries listed below
Sorting:
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆45Updated 6 years ago
- Implementation of the Slow Feature Analysis algorithm for unsupervised learning☆12Updated 3 years ago
- Transfer via Extreme learning machine Auto-encoder Method (TEAM)☆20Updated 3 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆23Updated 2 years ago
- ☆16Updated 6 years ago
- Deep Batch Active Learning for Regression☆71Updated last year
- DCEKit (Data Chemical Engineering toolKit)☆70Updated 2 months ago
- Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"☆17Updated 3 years ago
- Python implementation of domain-invariant partial least squares regression (di-PLS)☆21Updated 6 months ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆189Updated 3 years ago
- Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…☆51Updated 2 years ago
- Code for paper Extended Multiplicative Signal Augmentation: An alternative to pre-processing of infrared spectra☆14Updated 4 years ago
- Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)☆75Updated 6 years ago
- Collection of code and data related to the CHAMPS kaggle competition☆11Updated 3 years ago
- Feature Selection by Optimized LASSO algorithm☆16Updated 8 years ago
- This project provides Slow Feature Analysis as a scikit-learn-style package.☆41Updated 2 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆188Updated 3 years ago
- Sample selection using Kennard-Stone algorighm☆11Updated 6 years ago
- The imbalanced regression method DenseWeight produces sample weights for data points in regression tasks so that there is a higher emphas…☆39Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆70Updated 5 years ago
- Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation☆52Updated 5 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆26Updated 8 years ago
- This repository contains code for handling the materials images and spectra dataset that is the largest expermental materials science dat…☆15Updated last year
- ☆10Updated 5 years ago
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆11Updated 3 years ago
- Gaussian processes and Bayesian optimization for images and hyperspectral data☆57Updated last year
- (Multiblock) Partial Least Squares Regression for Python☆31Updated 5 years ago