#Dimensionality-reduction
Showing 55 of 55 repositories tagged #dimensionality-reduction, ranked by stars
Uniform Manifold Approximation and Projection
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A curated list of community detection research papers with implementations.
Text Classification Algorithms: A Survey
Extensible, parallel implementations of t-SNE
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
A repository of pretty cool datasets that I collected for network science and machine learning research.
Minimum-distortion embedding with PyTorch
Machine Learning notebooks for refreshing concepts.
Dimensionality reduction in very large datasets using Siamese Networks
Functional Data Analysis Python package
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Hierarchical Uniform Manifold Approximation and Projection
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
TorchDR - PyTorch Dimensionality Reduction
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
Unsupervised visualization of image datasets using contrastive learning
Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis
Parallel Barnes-Hut t-SNE implementation written in Rust.
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU for computation and video rendering.
This is a practical course designed for chemical engineers that want to learn the basics of AI. The course is very practical and will cover various topics, such as basic Python syntax, data visualization, machine learning and deep learning models, natural language processing, image processing and explainability.
In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Local Fisher Discriminant Analysis in R
A Framework for Dimensionality Reduction in R
Interactive Visualization Interface for Multidimensional Datasets
A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
DataMap is a browser-based app for visualizing data using heatmaps, PCA plots, and t-SNE plots.
Visualization Tool for Mapping Out Researchers using Natural Language Processing
A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
A Snakemake workflow and MrBiomics module to split, filter, normalize, integrate and select highly variable features of count matrices resulting from next-generation sequencing (NGS) experiments (e.g., RNA-seq, ATAC-seq, ChIP-seq, Methyl-seq, miRNA-seq,...) including confounding factor analysis and diagnostic visualizations.
Noise-Contrastive Visualization
This Repository collects all my code materials for all my courses ........................ by/ Mohammed Agoor
Deprecated in favour of TopoMetry: https://github.com/davisidarta/topometry
UMAP in pure MLX for Apple Silicon. 30x faster than umap-learn.
Implementation of a series of Neural Network architectures in TensorFow 2.0
Iconographic Visualization Inside Computational Notebooks
python library for dimensionality reduction
A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
Machine Learning Case study on customer segmentation and prediction of groups.
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
Method to find contrastive dimensions between experimental conditions
The repository of Data Science Projects completed by me for self-learning.
NLP Section of the Data Science course, NRU HSE
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
Contains all my data science projects.
Taxonomy Completion with Embedding Quantization and an LLM-based Pipeline: A Case Study in Computational Linguistics
Study notebooks made for learning machine learning for the Hawk team