Alternatives and similar repositories for lwpls:

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

• SeongokRyu / uq_molecule
  Uncertainty quantification of molecular property prediction using Bayesian deep learning
  ☆44Updated 6 years ago
• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 5 years ago
• zmzhang / TEAM
  Transfer via Extreme learning machine Auto-encoder Method (TEAM)
  ☆19Updated 2 years ago
• hsaafan / SlowFeatureAnalysis
  Implementation of the Slow Feature Analysis algorithm for unsupervised learning
  ☆11Updated 2 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• B-Analytics / diPLSlib
  Python implementation of domain-invariant partial least squares regression (di-PLS)
  ☆21Updated last month
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆41Updated 3 years ago
• BioSpecNorway / EMSA
  Code for paper Extended Multiplicative Signal Augmentation: An alternative to pre-processing of infrared spectra
  ☆14Updated 4 years ago
• hkaneko1985 / kennardstonealgorithm
  Sample selection using Kennard-Stone algorighm
  ☆11Updated 5 years ago
• vd1371 / PyImbalReg
  Pre-processing technics for imbalanced datasets in regression modelling
  ☆11Updated 2 years ago
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆66Updated 6 months ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆181Updated 3 years ago
• daiki-ko / Metric_MHG-VAE
  ☆10Updated 4 years ago
• hkaneko1985 / dcekit
  DCEKit (Data Chemical Engineering toolKit)
  ☆63Updated 6 months ago
• EBjerrum / Deep-Chemometrics
  Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)
  ☆74Updated 6 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 4 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆186Updated 2 years ago
• seokhokang / reaction_condition_vae
  Generative Modeling to Predict Multiple Suitable Conditions for Chemical Reactions
  ☆8Updated last month
• yuyay / gpx
  Official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)
  ☆17Updated 3 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆27Updated 2 years ago
• georgelamb19 / chempropBayes
  Bayesian MPNNs for Molecular Property Prediction
  ☆27Updated 4 years ago
• mrunal46 / TEP-Fault-Detection
  ☆15Updated 5 years ago
• JinZhangLab / pynir
  python toolkit for calibration of near infrared ( NIR) spectra
  ☆13Updated 3 months ago
• freesiemens / SpectralMultivariateCalibration
  Partial Least Squares implementation in Python
  ☆27Updated 8 months ago
• DTUComputeStatisticsAndDataAnalysis / MBPLS
  (Multiblock) Partial Least Squares Regression for Python
  ☆30Updated 5 years ago
• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• topipa / gp-varsel-kl-var
  ☆14Updated 5 years ago
• zhangjc714 / TE
  本科毕业设计 - 基于数据解析的化工生产过程诊断
  ☆12Updated 3 years ago
• VlachosGroup / nextorch
  Experimental design and Bayesian optimization library in Python/PyTorch
  ☆51Updated 8 months ago
• wiskott-lab / sklearn-sfa
  This project provides Slow Feature Analysis as a scikit-learn-style package.
  ☆40Updated last year