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

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

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

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

A JavaScript Library for Dimensionality Reduction

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

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

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

R package for dimensionality reduction of small datasets

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

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

DataMap is a browser-based app for visualizing data using heatmaps, PCA plots, and t-SNE plots.

🤘 Map out your musical taste on Spotify with machine learning

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

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.

NLP with NLTK for Sentiment analysis amazon Products Reviews

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

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

Discover hidden patterns and relationships in unstructured data with Python

ASAP : Automated Single-cell Analysis Pipeline

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Visualizing the space of chemical reactions with the parametric (learnable) t-SNE.

Fast javascript implementation of T-SNE with tree-based acceleration

Stochastic Neighbor Embedding Experiments in R

USUM: Plotting sequence similarity using USEARCH & UMAP & t-SNE

GTM and t-SNE classification and clustering of 1000 Genomes Project populations

A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region

Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.

CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on COVIDx CXR-3 dataset.

SNE Simulation Dataset Functions