GitHub topics: tsne-algorithm

Repositories

CannyLab/tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

Language: Cuda - Size: 15.1 MB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 1,868 - Forks: 134

fayzi-dev/_Projects

Sample projects based on personal experiences and fun to share

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sanjurajveer/Moview_review_analysis_NLP

Analysing movie reviews using NLP and categorising int good and bad

Language: Jupyter Notebook - Size: 202 KB - Last synced at: about 10 hours ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

khyatimahendru/Dimensionality-Reduction

This is an implementation of 3 dimensionality reduction techniques - PCA, SVD, and tSNE for visualization of high dimensional data in 2D and 3D.

Language: Jupyter Notebook - Size: 5.79 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1

AsmirMumin/Retail-Coupon-Recommendation-for-Revenue-Optimization

This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift

Language: Jupyter Notebook - Size: 139 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 5

palle-k/tsne-pytorch Fork of mxl1990/tsne-pytorch

CUDA-accelerated PyTorch implementation of t-SNE

Language: Python - Size: 340 KB - Last synced at: 3 days ago - Pushed at: about 4 years ago - Stars: 25 - Forks: 5

ahmedbesbes/How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python

A practical guide to topic mining and interactive visualizations

Language: HTML - Size: 17.2 MB - Last synced at: 20 days ago - Pushed at: about 7 years ago - Stars: 75 - Forks: 49

kalebers/Data_Streams_Parametric_T-SNE

Research for Parametric T-SNE in high to low dimensional data stream, published in 2021 by Kalebe Rodrigues Szlachta and Andre de Macedo Wlodkovski, oriented by Jean Paul Barddal, Computer Science graduation from Pontifical Catholic University of Parana (PUCPR)

Language: Jupyter Notebook - Size: 576 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

ziraddingulumjanly/Unsupervised-learning-implementation-on-HeartAttackDataset

This study aims to identify distinct subgroups within a dataset of patients with heart attack-related features using unsupervised learning techniques: k-means and Hierarchical

Language: Python - Size: 1.41 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

alexisbcook/tsne Fork of danielfrg/tsne

A python wrapper for Barnes-Hut tsne: for Python >= 3.5

Language: Python - Size: 1.5 MB - Last synced at: 5 months ago - Pushed at: about 8 years ago - Stars: 54 - Forks: 23

FilipTirnanic96/t-SNE

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

Language: Python - Size: 16 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

zairuiy-coding/FindFlora

a Java-based recommendation engine using t-SNE techique and QuadTree algorithms

Language: Java - Size: 21.1 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

AmirHHasani/Manual-PCA-TSNE

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

dvircohen0/ML-101

Machine-Learning-Algorithms-From-Scratch

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Shivank1006/Dimensionality_Reduction_and_State_Vector_Machines-Data_Science

Data Science Assignment

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

alexisbcook/keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

Language: Jupyter Notebook - Size: 5.34 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 131 - Forks: 58

jiatangzhi/stock_screener

My Dissertation evaluates methods against S&P 500 US stock data from Yahoo Finance, aiming to offer a concise financial market snapshot

Language: Python - Size: 6.18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mxl1990/tsne-pytorch

Pytorch implementation for t-SNE with cuda to accelerate

Language: Python - Size: 535 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 251 - Forks: 56

GouthamBitra/Data-Visualization

Data visualization by implementing T-sne and PCA

Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

akhtarmf/multivariateanalysis

Dimensionality reduction and visualization techniques t-stochastic neighbour embedding (t-SNE) and uniform manifold approximation and projection (UMAP) were used to evaluate National Renewable Energy Laboratory’s (NREL) market segmentation for rooftop solar technical potential based on small, medium, and large classification labels. The medium and large class clusters were shown to overlap over a broad range of hyperparameter optimizations leading to the agglomeration of both classes and a revised dataset with binary classifications, small and large. T-SNE outputs in the low-dimensional embedded feature space were used as inputs for support vector machine classification algorithms. While the polynomial kernel trick performed poorly at classifying the distinct binary clusters, both the radial basis function and sigmoid kernel tricks precisely and accurately classified the new rooftop solar technical potential market segments.

Language: Python - Size: 21.4 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

VipinJain1/VIP-PCA_tSNE

Language: Jupyter Notebook - Size: 9.99 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1

vaitybharati/t_SNE

t_SNE - Training and testing model

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

vaitybharati/P34.-Unsupervised-ML---t-SNE-Data-Mining-Cancer-

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

Language: Jupyter Notebook - Size: 778 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

RUBi-ZA/pyMODE-TASK

MODE-TASK plugin for PyMOL

Language: C++ - Size: 9.18 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

mustaffa-hussain/PCA-v-s-t-SNE

It has the comparison study on dimension reduction techniques PCA and t-SNE on MNIST Digit Recognitaion Dataset

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

hbjornoy/t-SNE-vs-LLE

Comparison of the Stochastic Neighbor Embedding(SNE) and the t-distributed SNE algorithms

Language: Jupyter Notebook - Size: 129 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

Zatura/clickstream-content-sessionization

Undergraduate thesis for Bachelor in Computer Engineering

Language: Jupyter Notebook - Size: 6.66 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

wisnu45/KLASIFIKASI-DIABETIC-RETINOPATHY

KLASIFIKASI DIABETIC RETINOPATHY MENGGUNAKAN ARSITEKTUR DEEP LEARNING MODEL CNN (CONVOLUTIONAL NEURAL NETWORK) RESNET50 224X224X3

Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

DanShai/kernalized-tsne

kernalized t-Distributed Stochastic Neighbor Embedding (t-SNE)

Language: Python - Size: 3.57 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 4

JalajVora/Master-Thesis-Visual-Analytics

This repository contains code base of my Master Thesis work named under "Pattern Detection in Tabular Data with shallow hierarchy: A Visual Analytics Case Study for Narrative Visualization"

Language: Jupyter Notebook - Size: 76.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ArmandoGaGo/PCA-and-tSne-in-Auto-mpg-dataset

The objective of this problem is to explore the data, extract meaningful insights, and find different groups of vehicles in the data by using dimensionality reduction techniques like PCA and t-SNE.

Language: Jupyter Notebook - Size: 324 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

drmerlot/startml

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Language: R - Size: 10.6 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 0

gokceneraslan/tensorsne

Fast Barnes-Hut t-SNE with Tensorflow integration

Language: Python - Size: 23.4 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 2

BharatGuturi/Unsupervised-machine-learning

Clustering algorithms to explore whether the patients can be placed into distinct groups. Then, you’ll create a visualisation to share your findings with your team and other key stakeholders.

Language: Jupyter Notebook - Size: 255 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Alphaomegainfinity/unsupervised_machine_learning_predicting_myopia

Myopia Project: Using unsupervised machine learning to fit data into a model and using clustering algorithms to place data into groups. Then, create a visualisation to display a trend.

Language: Jupyter Notebook - Size: 200 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

unhkd-dee/seedbank

Interactive Machine Learning Examples

Language: Jupyter Notebook - Size: 32 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 4

BoydRotgans/goodgovernment

Interactive tool for building correlation maps between governments worldwide.

Language: Java - Size: 159 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 0

ericyang789/Parallel-Compute-Project

C implementation of t-SNE with parallelization optimization

Language: Jupyter Notebook - Size: 27.1 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

singhsanoo/myopia-cluster-unsupervisedML

Performance of Kmean clustering algorithm on Myopia dataset

Language: Jupyter Notebook - Size: 221 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

janwithb/latent-space-plots

A simple Jupyter notebook to visualize data in latent space using dimensionality reduction techniques.

Language: Jupyter Notebook - Size: 45.1 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

KWASSI09/unsupervised-machine_learning

Language: Jupyter Notebook - Size: 302 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sandipanpaul21/Dimensionality-Reduction-in-Python

Dimensionality Reduction technique in machine learning both theory and code in Python. Includes topics from PCA, LDA, Kernel PCA, Factor Analysis and t-SNE algorithm

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

TanishaCooper/unsupervised_machine_learning

Use unsupervised learning by fitting data to a model and using clustering algorithms to place data into groups of patients with or without myopia. Then, create a visualization that shares your findings.

Language: Jupyter Notebook - Size: 509 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

SaikatPhys/latent-space-text-clustering

Clustering sentences/text snippets by employing Sentence Embeddings (e.g., BERT, Universal Sentence Encoder etc) & various clustering algorithms like T-SNE, K-Means etc.

Language: Jupyter Notebook - Size: 62.5 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

malort/Unsupervised_Country_Data

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Elliott-dev/Machine-Learning-Cryptocurrency-Clusters

I am on the Advisory Services Team of a financial consultancy. One of MY clients, a prominent investment bank, is interested in offering a new cryptocurrency investment portfolio for its customers. The company, however, is lost in the vast universe of cryptocurrencies. They’ve asked me to create a report that includes what cryptocurrencies are on the trading market and determine whether they can be grouped to create a classification system for this new investment.

Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0