Pytorch implementation for t-SNE with cuda to accelerate
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Updated
Mar 29, 2023 - Python
Pytorch implementation for t-SNE with cuda to accelerate
Tutorial to make a simple NLP chatbot with Intent classification, FastText, Flask, AJAX
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки
This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses
Our first participation in a Kaggle competition. Dry Beans Classification is an unranked competition held by ITI AI-Pro.
Use 2 different models and compare their performance on the Fashion-MNIST Dataset.
Robust way to explore GAN model latent space on web using three.js & t-SNE
Visualization of electron microscopy datasets with deep learning
A Word Embedding Model for Bangla Text Corpus.
Dashboard of UCSB ERI research outputs for Patterns 2021 paper
Indexing an image database for classification and content-based image retrieval: using deep features extracted from neural networks.
Code to detect credit card fraud detecton
This repository contains a simple script built in order to visualize the MNIST dataset in a 2D space
This repo is a streamlit app that records audio in browser, and helps to find the silimlarity between 2 or 3 classes of sound.
Assignments of the course
Exploratory Data Analysis with TSNE ON_ DonorsChoose data set
Unsupervised-ML-t-SNE-Data-Mining-Cancer. Import Libraries, Import Dataset, Convert data to array format, Separate array into input and output components, TSNE implementation, Cluster Visualization
Creating empty dataframe, data normalization, Dimensionality reduction, Outlier detection, Overfitting of model and its solution, Remove column with zero values, Replace NA with zeros.
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