Alternatives and similar repositories for lwpls

Users that are interested in lwpls are comparing it to the libraries listed below

• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 5 years ago
• SeongokRyu / uq_molecule
  Uncertainty quantification of molecular property prediction using Bayesian deep learning
  ☆45Updated 6 years ago
• zmzhang / TEAM
  Transfer via Extreme learning machine Auto-encoder Method (TEAM)
  ☆20Updated 3 years ago
• BioSpecNorway / EMSA
  Code for paper Extended Multiplicative Signal Augmentation: An alternative to pre-processing of infrared spectra
  ☆14Updated 4 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆70Updated 5 years ago
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆71Updated last year
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• hsaafan / SlowFeatureAnalysis
  Implementation of the Slow Feature Analysis algorithm for unsupervised learning
  ☆12Updated 3 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆22Updated 2 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆26Updated 8 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆189Updated 3 years ago
• helgestein / materials-images-spectra
  This repository contains code for handling the materials images and spectra dataset that is the largest expermental materials science dat…
  ☆15Updated last year
• B-Analytics / diPLSlib
  Python implementation of domain-invariant partial least squares regression (di-PLS)
  ☆21Updated 7 months ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆188Updated 4 years ago
• EBjerrum / Deep-Chemometrics
  Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)
  ☆75Updated 7 years ago
• hkaneko1985 / dcekit
  DCEKit (Data Chemical Engineering toolKit)
  ☆71Updated 3 months ago
• hkaneko1985 / kennardstonealgorithm
  Sample selection using Kennard-Stone algorighm
  ☆11Updated 6 years ago
• mlaves / bayesian-temperature-scaling
  Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…
  ☆24Updated 5 years ago
• clarafy / conformal-for-design
  ☆29Updated 3 years ago
• suinleelab / DeepSHAP
  Experiments for DeepSHAP paper.
  ☆20Updated 3 years ago
• yandex-research / GBDT-uncertainty
  ☆58Updated last year
• DTUComputeStatisticsAndDataAnalysis / MBPLS
  (Multiblock) Partial Least Squares Regression for Python
  ☆31Updated 5 years ago
• mrunal46 / TEP-Fault-Detection
  ☆16Updated 6 years ago
• Ryan-Rhys / Constrained-Bayesian-Optimisation-for-Automatic-Chemical-Design
  Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…
  ☆51Updated 3 years ago
• wiskott-lab / sklearn-sfa
  This project provides Slow Feature Analysis as a scikit-learn-style package.
  ☆41Updated 2 years ago
• RomuloDrumond / LSSVM
  Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).
  ☆59Updated 4 months ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 5 years ago
• daiki-ko / Metric_MHG-VAE
  ☆10Updated 5 years ago
• PV-Lab / Benchmarking
  Benchmarking
  ☆31Updated 4 years ago
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 4 years ago