Topic: dimension-reduction Goto Github
Some thing interesting about dimension-reduction
Some thing interesting about dimension-reduction
dimension-reduction,Machine learning and data analysis package implemented in JavaScript and its online demo.
Organization: ai-on-browser
Home Page: https://ai-on-browser.github.io
dimension-reduction,Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing: we investigate the robustness of hashing methods based on variational autoencoders to the lack of supervision, focusing on two semi-supervised approaches currently in use. In addition, we propose a novel supervision approach in which the model uses its own predictions of the label distribution to implement the pairwise objective. Compared to the best baseline, this procedure yields similar performance in fully-supervised settings but improves significantly the results when labelled data is scarce.
User: amacaluso
dimension-reduction,A header-only C++ library for sketching in randomized linear algebra
Organization: ballisticla
Home Page: https://randblas.readthedocs.io/en/stable/
dimension-reduction,A novel method for single-cell diagonal integration: scConfluence
Organization: cantinilab
Home Page: https://scconfluence.readthedocs.io/en/latest/
dimension-reduction,A fast xgboost feature selection algorithm
User: chasedehan
dimension-reduction,manage ordinations and render biplots in a tidyverse workflow
User: corybrunson
Home Page: https://corybrunson.github.io/ordr/
dimension-reduction,Visualize the Latent Space of an Autoencoder using matplotlib
User: crypto-code
dimension-reduction,Fast k-Nearest Neighbors Classifier for Large Datasets
User: davpinto
Home Page: https://davpinto.github.io/fastknn
dimension-reduction,A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.
User: derohde
Home Page: https://pypi.org/project/Fred-Frechet/
dimension-reduction,Stock Market Prediction on High-Frequency Data Using soft computing based AI models
User: dksifoua
dimension-reduction,autoencoder implemented with tensorflow
User: dltkr77
dimension-reduction,Comparison of clustering methods for determining the operational states of a wastewater treatment plant (BSc project in Statistics) :wrench: :potable_water: :arrows_counterclockwise: :recycle: :sweat_drops:
User: egeminiani
Home Page: https://bit.ly/3jrSY4q
dimension-reduction,Statistical quality evaluation of dimensionality reduction algorithms
User: ejohnson643
dimension-reduction,Randomized Dimension Reduction Library
User: erichson
Home Page: https://ristretto.readthedocs.io/en/latest/
dimension-reduction,Randomized Matrix Decompositions using R
User: erichson
Home Page: https://arxiv.org/abs/1608.02148
dimension-reduction,Sparse Principal Component Analysis (SPCA) using Variable Projection
User: erichson
Home Page: https://arxiv.org/abs/1804.00341
dimension-reduction,DR.SC: Joint dimension reduction and spatial clustering for single-cell/spatial transcriptomics data
User: feiyoung
dimension-reduction,numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
User: fengyang95
dimension-reduction,Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
User: friendly
Home Page: https://friendly.github.io/candisc/
dimension-reduction,Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R"
User: friendly
Home Page: https://friendly.github.io/Vis-MLM-book/
dimension-reduction,Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
Organization: gd-vae
dimension-reduction,emgr -- EMpirical GRamian Framework
User: gramian
Home Page: https://gramian.de
dimension-reduction,HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition
User: gramian
Home Page: https://git.io/hapod
dimension-reduction,Dimension reduced surrogate construction for parametric PDE maps
Organization: hippylib
dimension-reduction,R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Organization: isee
Home Page: https://isee.github.io/iSEE/
dimension-reduction,Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.
User: jbris
dimension-reduction,sliced: scikit-learn compatible sufficient dimension reduction
User: joshloyal
Home Page: https://joshloyal.github.io/sliced/
dimension-reduction,Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
User: katiana22
dimension-reduction,Infinite Mixtures of Infinite Factor Analysers
User: keefe-murphy
dimension-reduction,A Python package for dimension reduction and evaluation workflows with CyTOF data.
User: kevin931
Home Page: https://doi.org/10.1038/s41467-023-37478-w
dimension-reduction,Dimension Reduction and Estimation Methods
User: kisungyou
Home Page: https://kisungyou.com/Rdimtools
dimension-reduction,Use unsupervised machine learning tools to segment credit card customers
User: laurentveyssier
dimension-reduction,A flexible and efficient С++ template library for dimension reduction
User: lisitsyn
Home Page: http://tapkee.lisitsyn.me
dimension-reduction,**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)
User: mainkoon81
dimension-reduction,Deep learning meets molecular dynamics.
Organization: markovmodel
dimension-reduction,This is a repository for the tutorial lecture about applications of unsupervised learning analyses for molecular dynamics data presented at the MLQCDyn school in Paris.
User: maxjr82
dimension-reduction,R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
User: milescsmith
Home Page: https://milescsmith.github.io/ReductionWrappers/
dimension-reduction,Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
User: mlesnoff
dimension-reduction,Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm
User: nourozr
dimension-reduction,Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
User: parashardhapola
Home Page: http://scarf.readthedocs.io
dimension-reduction,:package: Omics Data Analysis Tools
User: pcastellanoescuder
dimension-reduction,A comparison between some dimension reduction algorithms
Organization: pydimred
dimension-reduction,All the course work of supervised and unsupervised algorithms and projects.
User: sliao7
dimension-reduction,Implementation of the most basic SDR (sufficient dimension reduction) methods in Python
User: soply
dimension-reduction,An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
User: soumenca
Home Page: https://link.springer.com/chapter/10.1007%2F978-3-319-49397-8_4
dimension-reduction,This is a repository for the paper "Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups."
User: tzuliu
dimension-reduction,NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)
User: voidism
dimension-reduction,Repository for the AugmentedPCA Python package.
User: wecarsoniv
dimension-reduction,[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction
Organization: westlake-ai
Home Page: https://arxiv.org/abs/2010.04012
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