A python wrapper for Barnes-Hut tsne: for Python >= 3.5
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Updated
Apr 4, 2017 - Python
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
The project visualizes the high dimensional bioacoustic data in 2D scatter plot using the tSNE technique.
Visualizing word similarities in Adventures of Huckleberry Finn using TSNE
Fast Barnes-Hut t-SNE with Tensorflow integration
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
A practical guide to topic mining and interactive visualizations
Comparison of the Stochastic Neighbor Embedding(SNE) and the t-distributed SNE algorithms
[no longer supported] for a more powerful version of this that supports multiple channels and uses machine learning, look here ➡️
HDP + T-SNE + k-NN applied to topic modeling
Interactive Machine Learning Examples
MNIST dataset
Interactive tool for building correlation maps between governments worldwide.
On the Amazon fine food review, TSNE is applied
kernalized t-Distributed Stochastic Neighbor Embedding (t-SNE)
Configuração automática do t-SNE (Projeto de conclusão de curso Unicamp 2017)
It has the comparison study on dimension reduction techniques PCA and t-SNE on MNIST Digit Recognitaion Dataset
A tSne example in Juypter Notebook
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