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dimensionality-reduction

Here are 1,173 public repositories matching this topic...

tirthajyoti / Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Updated May 22, 2023
Jupyter Notebook

seandavi / awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Updated Mar 27, 2024

lmcinnes / umap

Uniform Manifold Approximation and Projection

visualization machine-learning dimensionality-reduction umap topological-data-analysis

Updated Apr 30, 2024
Python

kk7nc / Text_Classification

Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network

Updated Nov 14, 2022
Python

JustGlowing / minisom

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

machine-learning clustering som neural-networks dimensionality-reduction outlier-detection unsupervised-learning manifold-learning self-organizing-map vector-quantization

Updated May 3, 2024
Python

awesome-community-detection

benedekrozemberczki / awesome-community-detection

A curated list of community detection research papers with implementations.

Updated Mar 16, 2024
Python

maykulkarni / Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

python machine-learning natural-language-processing reinforcement-learning deep-learning machine-learning-algorithms neural-networks deep-learning-algorithms dimensionality-reduction python-machine-learning data-processing regression-models deep-learning-tutorial data-science-notebook model-evaluation classification-trees clustering-methods machine-learning-tutorials

Updated Aug 24, 2021
Jupyter Notebook

PacktWorkshops / The-Data-Science-Workshop

A New, Interactive Approach to Learning Data Science

python machine-learning random-forest regression datascience dimensionality-reduction feature-engineering data-preparation machine-learning-pipelines binaryclassification clusteranalysis hyperparameter-tuning- ensemble-learning-

Updated Dec 8, 2022
Jupyter Notebook

pavlin-policar / openTSNE

Extensible, parallel implementations of t-SNE

visualization machine-learning dimensionality-reduction tsne embedding

Updated May 8, 2024
Python

snrazavi / Machine_Learning_2018

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

python machine-learning clustering linear-regression regression neural-networks supervised-learning pca classification dimensionality-reduction logistic-regression recommender-system gradient-descent support-vector-machines backpropagation anomaly-detection unsupervised-machine-learning

Updated Sep 16, 2021
Jupyter Notebook

msmbuilder / msmbuilder

🏗️ Statistical models for biomolecular dynamics 🏗️

python markov-model hmm analysis clustering molecular-dynamics feature-extraction pca msmbuilder dimensionality-reduction tica

Updated Jan 26, 2021
Python

machenslab / dPCA

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

python matlab dimensionality-reduction

Updated Jun 2, 2022
Jupyter Notebook

datasets

benedekrozemberczki / datasets

A repository of pretty cool datasets that I collected for network science and machine learning research.

Updated Mar 16, 2024

JuliaStats / MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

statistics julia linear-regression regression pca dimensionality-reduction cca mds lda ridge-regression ols-regression isotonic-regression multivariate-statistics ica

Updated Apr 17, 2024
Julia

ardiya / siamesenetwork-tensorflow

Using siamese network to do dimensionality reduction and similar image retrieval

tensorflow dimensionality-reduction image-retrieval siamese-network

Updated Jul 22, 2019
Jupyter Notebook

iqiukp / KPCA-MATLAB

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

dimensionality-reduction kpca fault-detection fault-diagnosis

Updated Feb 21, 2022
MATLAB

KrishnaswamyLab / PHATE

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

data-visualization dimensionality-reduction unsupervised-learning single-cell manifold-learning

Updated Feb 20, 2024
Python

COVID19-Literature-Clustering

MaksimEkin / COVID19-Literature-Clustering

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.

machine-learning random-forest clustering sklearn kaggle pca classification dimensionality-reduction bokeh kmeans tsne principal-component-analysis kmeans-clustering sgd-classifier coronavirus covid-19

Updated Nov 2, 2021
HTML

koba-jon / pytorch_cpp

Deep Learning sample programs using PyTorch in C++

Updated Jun 27, 2023
C++

YttriLab / B-SOID

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

neuroscience dimensionality-reduction behavior-analysis openpose unsupervised-learning-algorithm deeplabcut sleap discover-behaviors umap-hdbscan

Updated Feb 9, 2024
Python

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