There are 4 repositories under t-sne topic.
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
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
Hacking sklearn's t-SNE implementation to animate embedding process
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
ASAP : Automated Single-cell Analysis Pipeline
Discover hidden patterns and relationships in unstructured data with Python
CUDA-accelerated PyTorch implementation of t-SNE
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
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.
GTM and t-SNE classification and clustering of 1000 Genomes Project populations
SNE Simulation Dataset Functions
Script to generate embeddings from a blog and use GPT-3.5 to categorize the embedding space
Implementation of collaborative filtering using fastai and pytorch
Some examples of using PCA and t-SNE for dimensionality reduction in Python and R
A PyTorch port of the existing MXNet implementation for the 2019 CVPR paper "d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding."
Robust way to explore GAN model latent space on web using three.js & t-SNE
Applying t-SNE on MNIST dataset and visualizing the digit classes in 2 dimensions using matplotlib library
Image Classification via Transfer Learning: Using Pre-trained Densely Connected Convolutional Network (DenseNet) weights
Visualizing word embeddings generated by GloVe and Word2Vec models using the t-SNE algorithm
E-commerce customers automatic grouping by unsupervised ML/AI. Data from the Kaggle Olist dataset