Visualization of electron microscopy datasets with deep learning

Assignments of the course

This repository contains a simple script built in order to visualize the MNIST dataset in a 2D space

This repository implements visualization of tsne and sphere features.

3D T-SNE graphs with sliders and checkboxes to visualize the T-SNE cloud at every epoch for specific labels. Optionally you can also track specific datapoint by labeling it with a unique marker.

a simple python script to train and visualize a WordsEmbedding

This repo is a streamlit app that records audio in browser, and helps to find the silimlarity between 2 or 3 classes of sound.

Implementation of t-SNE and Barnes-Hut-SNE algorithm. Comparison of algorithm implementation with sklearn library implementation on sample databases.

Pytorch implementation for t-SNE with cuda to accelerate

Tutorial to make a simple NLP chatbot with Intent classification, FastText, Flask, AJAX

For the Unsupervised Machine Learning [PPGEEC2325] course by Professor Luiz Affonso at UFRN, this application displays word2vec embeddings using PCA and t-SNE, allowing users to easily grasp linguistic patterns.

Indexing an image database for classification and content-based image retrieval: using deep features extracted from neural networks.

适用于深度哈希图像检索的T-SNE降维算法可视化的脚本

Investigating wav2vec2 context representations and the effects of fine-tuning

A python based tool for clustering text , CSV and logs.