tsne-algorithm

mxl1990/tsne-pytorch

Pytorch implementation for t-SNE with cuda to accelerate

alexisbcook/keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

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

A practical guide to topic mining and interactive visualizations

alexisbcook/tsne

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

palle-k/tsne-pytorch

CUDA-accelerated PyTorch implementation of t-SNE

kaustubh187/Research-paper-recommender-system

A research paper recommender system that recommends similar research papers based on abstract text of the papers.

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

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

BoydRotgans/goodgovernment

Interactive tool for building correlation maps between governments worldwide.

brsegmentation/brsegmentation

Breast region segmentation with multiatlas deformable registration

rahulvigneswaran/tsne-plotter

This is Matlab script for plotting 2 Dimensional and 3 Dimensional t-Distributed Stochastic Neighbor Embedding (t-SNE).

Brannigan123/reverse-image-search

An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.

drmerlot/startml

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

gokceneraslan/tensorsne

Fast Barnes-Hut t-SNE with Tensorflow integration

unhkd-dee/seedbank

Interactive Machine Learning Examples

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.

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

AnFrBo/coupon_optimization

Maximizing Revenue with Individualized Coupon Optimization Using Tree-Based Models

RUBi-ZA/pyMODE-TASK

MODE-TASK plugin for PyMOL

VipinJain1/VIP-PCA_tSNE

vpuru98/Embeddings

Training Word Embeddings and using them to perform Sentiment Analysis with attention based LSTMs

DanShai/kernalized-tsne

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

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.

sg-s/spikesort

[no longer supported] for a more powerful version of this that supports multiple channels and uses machine learning, look here ➡️

FilipTirnanic96/t-SNE

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

harshit37/Dimensionality-Reduction-using-PCA-LDA-and-t-SNE

Analysing different dimensionality reduction techniques and svm

janwithb/latent-space-plots

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

josephchancey/crypto-clustering

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)

sukanyabag/Microsoft-Malware-Detection

Advanced ML Case Study where we use ML algorithms to detect malware from a given piece of software.

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

verrannt/enas-compression

EComp: Evolutionary Compression of Neural Networks Using a Novel Similarity Objective

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.

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"

wisnu45/KLASIFIKASI-DIABETIC-RETINOPATHY

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

zairuiy-coding/FindFlora

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