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RubensZimbres /Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

nlp opencv natural-language-processing deep-learning sentiment-analysis word2vec keras generative-adversarial-network autoencoder glove t-sne segnet keras-models keras-layer latent-dirichlet-allocation denoising-autoencoders svm-classifier resnet-50 anomaly-detection variational-autoencoder

UpdatedDec 6, 2021
Python

KlugerLab /FIt-SNE

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

visualization big-data t-sne fast-algorithm

UpdatedSep 13, 2021
C++

umbertogriffo /fast-near-duplicate-image-search

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

hashing computer-vision kd-tree image-processing nearest-neighbor-search phash nearest-neighbors t-sne perceptual-hashing duplicates-removed image-deduplication duplicate-detection kdtree near-duplicate

UpdatedNov 22, 2022
Python

ZYK100 /LLCM

[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

dataset t-sne low-light person-re-identification cross-modality visible-infrared cvpr2023 vireid llcm

UpdatedDec 23, 2023
Python

saehm /DruidJS

A JavaScript Library for Dimensionality Reduction

clustering matrix javascript-library pca dimensionality-reduction t-sne mds unsupervised-learning lle umap isomap fastmap ltsa

UpdatedSep 26, 2024
JavaScript

mwdhont /SimCLRv1-keras-tensorflow

Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)

python t-sne keras-models keras-tensorflow self-supervised-learning simclr contrastive-learning

UpdatedDec 28, 2024
Jupyter Notebook

0011001011 /vizuka

Explore high-dimensional datasets and how your algo handles specific regions.

visualization data-science machine-learning data-mining big-data data-visualization pca kmeans t-sne unsupervised-learning tsne dbscan self-organizing-map 2d-space

UpdatedJul 19, 2018
Python

xieguigang /sciBASIC

sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.

data-science machine-learning data-mining cnn netcdf hdf5 microsoft-visualbasic t-sne network-visualization manifold umap hqx graphquery

UpdatedMar 18, 2025
Visual Basic .NET

jlmelville /smallvis

R package for dimensionality reduction of small datasets

r dimensionality-reduction t-sne umap largevis

UpdatedJan 3, 2025
R

animebing /mnist_tsne

t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature

UpdatedMar 24, 2018
Jupyter Notebook

snatch59 /cnn-svm-classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

random-forest tensorflow support-vector-machine confusion-matrix t-sne multi-layer-perceptron classify-images quadratic-discriminant-analysis linear-discriminant-analysis k-nearest-neighbors extra-trees-classifier

UpdatedDec 9, 2018
Python

sdimi /spotifav

🤘 Map out your musical taste on Spotify with machine learning

playlist spotify svm dimensionality-reduction t-sne

UpdatedJul 7, 2024
Jupyter Notebook

KellerJordan /tSNE-Animation

Hacking sklearn's t-SNE implementation to animate embedding process

animation dimensionality-reduction t-sne tsne-animation

UpdatedJun 9, 2018
Python

alaBay94 /Sentiment-analysis-amazon-Products-Reviews

NLP with NLTK for Sentiment analysis amazon Products Reviews

nlp django sentiment-analysis text-classification keras python3 nltk t-sne acp lstm-neural-networks sentiment-classification gensim-word2vec lstm-sentiment-analysis amazon-product

UpdatedOct 18, 2024
Jupyter Notebook

berenslab /umi-normalization

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

dimensionality-reduction t-sne negative-binomial-regression normalization single-cell-rna-seq umi-count single-cell-analysis scrna umi-count-matrix negative-binomial-model negative-binomial gene-selection glm-pca

UpdatedMay 6, 2022
Jupyter Notebook

AliAmini93 /ADHDeepNet

ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.

deep-learning cnn eeg-signals inception t-sne adhd interpretability eegnet squeeze-and-excitation-networks weight-visualization

UpdatedJun 25, 2024
Jupyter Notebook

RubixML /Credit

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

php data-science machine-learning tutorial pipeline analytics cross-validation credit-card dataset classification logistic-regression monte-carlo-simulation t-sne example-project risk-assessment manifold-learning php-ml machine-learning-tutorial rubix-ml php-machine-learning

UpdatedApr 29, 2022
PHP

DeplanckeLab /ASAP

ASAP : Automated Single-cell Analysis Pipeline

visualization bioinformatics enrichment rna-seq clustering web-app gene-expression ontology web-application bioinformatics-pipeline pca web-tool asap t-sne filtering transcriptomics single-cell differential-expression normalization differential-gene-expression

UpdatedOct 16, 2024
Java

TrainingByPackt /Applied-Unsupervised-Learning-with-Python

Discover hidden patterns and relationships in unstructured data with Python

pca autoencoder t-sne unsupervised-learning market-basket-analysis

UpdatedMay 23, 2019
Jupyter Notebook

palle-k /tsne-pytorch

CUDA-accelerated PyTorch implementation of t-SNE

data-science machine-learning data-visualization t-sne tsne-algorithm tsne embedding t-stochastic-neighbor-embedding

UpdatedMay 15, 2021
Python

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