xieguigang/sciBASIC

sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.

Language: Visual Basic .NET - Size: 326 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 73 - Forks: 35

alonfnt/tsnex

Minimal t-distributed stochastic neighbor embedding (t-SNE) implementation in JAX.

Language: Python - Size: 30.3 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 5 - Forks: 0

havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

jaywyawhare/Language-Prediction

This project compares deep learning techniques for multilingual text classification, focusing on language detection and classification using FastText and Sentence Transformer embeddings. It provides a dataset, requirements, and highlights the significance of training on a large multilingual corpus for improved performance.

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4 - Forks: 0

RubixML/Credit

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Language: PHP - Size: 1.76 MB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 12

somjit101/Human-Activity-Recognition

This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.

Language: Jupyter Notebook - Size: 58.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

di-danilenko/gender_climate_justice

An evidence map of the climate change adaptation policy literature with an implementation of gender analysis.

Language: Jupyter Notebook - Size: 701 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

pandas9/gan-latent-space-tsne-js

Robust way to explore GAN model latent space on web using three.js & t-SNE

Language: JavaScript - Size: 345 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

alessioborgi/MLPipeline_OptimizationStudy

Exploration and optimization of a ML pipeline, delving into various techniques for enhancing different stages of ML workflows, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.

Size: 6.84 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

TrainingByPackt/Applied-Unsupervised-Learning-with-Python

Discover hidden patterns and relationships in unstructured data with Python

Language: Jupyter Notebook - Size: 132 MB - Last synced at: 11 days ago - Pushed at: almost 6 years ago - Stars: 26 - Forks: 32

saehm/DruidJS

A JavaScript Library for Dimensionality Reduction

Language: JavaScript - Size: 6.18 MB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 116 - Forks: 10

KlugerLab/FIt-SNE

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

Language: C++ - Size: 31.3 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 592 - Forks: 106

ggiggit/phoneme_codec_visualization

Visualize the relationships between phonemes and codec tokens in a specialized speech dataset.

Language: Python - Size: 401 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jlmelville/snedata

SNE Simulation Dataset Functions

Language: R - Size: 184 KB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 11 - Forks: 0

koteitan/nostr-tsne

nostr t-SNE graph

Language: C++ - Size: 3.25 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 1

SCAI-BIO/tsnepad

AD & PD cohort variable distributions

Language: HTML - Size: 5.63 MB - Last synced at: 22 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

dsrichard97/STAT-576-Phishing-Final-Project Fork of CorySuzuki1729/STAT-576-Phishing-Final-Project

A final project authored by Cory Suzuki, Nathaniel Talampas, and Richard Diaz DeLeon for Dr. Seungjoon Lee's Unsupervised Learning class. Here we perform dimensionality reduction techniques for feature extraction and utilize clustering methods to analyze insightful trends on the classification of phishing and scam emails.

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sushant1827/Human-Activity-Recognition-with-Smartphones

Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.

Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: 14 days ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

Rachel-XMR/Data-Analysis-in-Health-Set-CSC3062

CSC3062 Data Analysis and visualization

Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

andreped/pathology-representation-simulation

🚀 Create your own simulation of t-SNE on histopathology images!

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

akshit-salhotra/MNIST

This repository is meant to improve my understanding of deep learning. It contains mutiple little experiments that i created to understand specialised architectures.

Language: Python - Size: 235 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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

CUDA-accelerated PyTorch implementation of t-SNE

Language: Python - Size: 340 KB - Last synced at: 7 days ago - Pushed at: almost 4 years ago - Stars: 25 - Forks: 5

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

jlmelville/smallvis

R package for dimensionality reduction of small datasets

Language: R - Size: 224 MB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 68 - Forks: 10

mwdhont/SimCLRv1-keras-tensorflow

Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)

Language: Jupyter Notebook - Size: 45.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 109 - Forks: 26

bp0609/MLP-Performance-On-Different-Tasks

This repository focuses on evaluating the performance of Multilayer Perceptrons (MLPs) on various machine learning tasks and comparing them with alternative models. It includes implementations of MLPs with regularization, feature engineering techniques, and visualization tools like decision boundaries and t-SNE.

Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

matteo-serafino/dimensionality-reduction-package

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

Language: Python - Size: 36.1 KB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

MPKuchciak/tsne-dimensionality-reduction

t-SNE exploration method on MNIST dataset

Language: R - Size: 4.28 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

SeyedMuhammadHosseinMousavi/Comprehensive-Machine-Learning-Techniques-Metrics-Classifiers-and-Evaluation

Comprehensive Machine Learning Techniques: Metrics, Classifiers, and Evaluation

Language: Python - Size: 14.8 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

KellerJordan/tSNE-Animation

Hacking sklearn's t-SNE implementation to animate embedding process

Language: Python - Size: 32.2 KB - Last synced at: 5 months ago - Pushed at: almost 7 years ago - Stars: 53 - Forks: 8

DeplanckeLab/ASAP

ASAP : Automated Single-cell Analysis Pipeline

Language: Java - Size: 170 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 23 - Forks: 10

RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Language: Python - Size: 40.4 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 1,192 - Forks: 677

rmitsch/tAPAS

Assisted hyperparameter optimization for t-SNE in a word embedding context.

Language: Python - Size: 4.01 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

rajpurkar/tsneez

Fast javascript implementation of T-SNE with tree-based acceleration

Language: JavaScript - Size: 28.5 MB - Last synced at: 7 days ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 1

prihoda/usum

USUM: Plotting sequence similarity using USEARCH & UMAP & t-SNE

Language: Python - Size: 1.26 MB - Last synced at: 23 days ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 0

sadegh15khedry/ML-Algorithms-From-Scratch

This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work.

Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: 16 days ago - Pushed at: 8 months ago - Stars: 3 - Forks: 1

kapshaul/NLP-WordVector

This repository explores word vectors in NLP, including tokenization, vocabulary building, and generating vectors with PPMI and GloVe, using t-SNE to visualize semantic relationships.

Language: Python - Size: 1.32 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

jlmelville/sneer

Stochastic Neighbor Embedding Experiments in R

Language: R - Size: 6.68 MB - Last synced at: 17 days ago - Pushed at: 8 months ago - Stars: 14 - Forks: 4

joshuacwnewton/d-SNE-PyTorch

A PyTorch port of the existing MXNet implementation for the 2019 CVPR paper "d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding."

Language: Python - Size: 430 KB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 3

razamehar/Reverse-Image-Search-Constructor

This project demonstrates image similarity search using two advanced techniques: K-Nearest Neighbors (KNN) and Approximate Nearest Neighbors (ANNOY). This project uses the Caltech 101 dataset to extract features from images using the ResNet50 model, and then performs similarity searches to identify and visualize similar images.

Language: Jupyter Notebook - Size: 23 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

k-karna/ml-scikit

Machine Learning feature engineering through Scikit-Learn

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hari255/Statistical-Analysis

This repository consists of projects and code dedicated to the fascinating world of statistical analytics. From crunching numbers to extracting meaningful insights.

Language: Jupyter Notebook - Size: 2.5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

umbertogriffo/fast-near-duplicate-image-search

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

Language: Python - Size: 28.5 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 147 - Forks: 20

omarkhaled00/MachineLearningOnHeartAttackDataset

Exploring the heart attack dataset and applying Machine learning techniques on it

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

SaniyaAbushakimova/Brewing-Insights-with-Unsupervised-Learning

Conducted a comprehensive clustering analysis to categorize beers based on features such as Astringency, Alcohol content, Bitterness, Sourness, and more. Utilized k-medoids and hierarchical agglomerative clustering algorithms to achieve this classification. Tech: Python (numpy, pandas, seaborn, matplotlib, sklearn, scipy)

Language: Jupyter Notebook - Size: 50 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

r2d4/blog-embeddings

Script to generate embeddings from a blog and use GPT-3.5 to categorize the embedding space

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 1

Manaswi-Vichare/Analyzing-a-Multi-Layer-Perceptron-using-Tensorboard

Implementing an MLP to classify the IRIS dataset and analysing using Tensorboard

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

paschalugwu/alx-data_science-unsupervised

A comprehensive exploration of unsupervised learning techniques, including clustering and dimensionality reduction, applied to real-world data science projects.

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

manuhg/fsort

T-SNE based Image sorting (core logic is at https://github.com/manuhg/libfsort)

Language: C++ - Size: 53.8 MB - Last synced at: 6 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

MuzzyB/Exploring-Cybersecurity-Data-Science

Exploring Cybersecurity Data Science: Dimensionality Reduction and Cluster Analysis

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GabrielJobert/PCA_explainability_Paper---MATH60629A_MACHINE_LEARNING_I

This project aims to enhance the interpretability of Principal Component Analysis (PCA) by integrating explainability tools and advanced dimensionality reduction techniques such as UMAP or t-SNE.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

YamanSD/Buzz

AI model for summarizing and categorizing news articles

Language: HTML - Size: 40.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

HaleyEgan/Exploring-Philosophical-Texts-Across-Gender-and-Time-with-Text-Analytics

Using text analytics to understand cultural patterns in philosophical texts. Exploring gender, author, region, and time-period differences, and extracting key philosophical concepts.

Language: Jupyter Notebook - Size: 119 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Bobidan97/Cheminformatics

Cheminformatics based project that aims to assess the diversity of the known inhibitors of SarsCov-2 proteases taken from COVID Moonshot project.

Language: Python - Size: 2.86 MB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

abisliouk/IE678-DeepLearning-Assignments

This is a repository with the assignments of IE678 Deep Learning course at University of Mannheim.

Language: Jupyter Notebook - Size: 25 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

ChandraPrakash-Bathula/TV-SHOW-RECOMMENDATIONS

TV Shows recommendation system using cosine-similarity in ML with the help of TMDB dataset 🍿🎬.

Language: Jupyter Notebook - Size: 781 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

windson/PCA-t-SNE

Principal Component Analysis and t-SNE

Language: Jupyter Notebook - Size: 605 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

saikumarsuvanam/MachineLearning

DataScience-Statistics,Machine Learning,AppliedAI

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 12 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

VinylBr/DeepLearningvsML_TBResistancePrediction

Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data

Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

koshian2/Parametric-t-SNE-in-Keras Fork of zaburo-ch/Parametric-t-SNE-in-Keras

a python implementation of Parametric t-SNE in Keras

Language: Python - Size: 463 KB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

inzamamulDU/movielens-and-netflix-dataset-prediction-

full visualization of netflix and movielense datasets with 89% accuraccy item2vec

Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

alirezarahimi1393/Classical-Learning

Welcome to my Classical Learning Projects repository, where I showcase my work in the fields of supervised and unsupervised learning. Here, you'll find code and datasets for various projects, such as classification and clustering tasks, implemented using popular algorithms like decision trees, neural networks, and k-means.

Language: Jupyter Notebook - Size: 309 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

arcoyk/acamap

Mapping academic research papers into a graph using machine learning

Language: Python - Size: 385 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

amirR01/Predicting-Breast-Cancer-Survival-Project

Predicting breast cancer survival using machine learning models

Language: Jupyter Notebook - Size: 3.91 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yessasvini23/T-SNE_AI-ML_Model

t-distributed stochastic neighborhood embedding (t-SNE) is a unsupervised non-linear dimensionality reduction and data visualization technique. The math behind t-SNE is quite complex but the idea is simple. It embeds the points from a higher dimension to a lower dimension trying to preserve the neighborhood of that point. I compared PCA and t-SN…

Language: Python - Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

divy-kangeyan/t-SNE

Size: 225 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

shik3519/collaborative-filtering

Implementation of collaborative filtering using fastai and pytorch

Language: HTML - Size: 55.3 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 11

iamlxb3/TedClustering

cluster Ted corpus; visualize in word-cloud; reduce by t-sne

Language: Python - Size: 417 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

wayne-turner/re_stochastic_neighbor_embedding

Guide for dimensionality reduction and clustering analysis.

Language: Python - Size: 9.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

elisiojsj/Dimensionality-Reduction

PCA and t-SNE demonstration on a dataset.

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afsharino/Computational-Intelligence

Embark on an introductory course on computational intelligence, covering topics like unsupervised learning, decision trees, SVM, perceptron, MLP, CNN, NLP, and ensemble classifiers. 🤖📚💡 Designed for TA-led classes at Ferdowsi University of Mashhad (FUM). Start your machine learning journey! 🚀

Size: 4.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

berenslab/umi-normalization

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

Language: Jupyter Notebook - Size: 89.2 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 37 - Forks: 2

tejasbawaskar/Deep_learning_tuts

Language: Python - Size: 44.8 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 2

severintroesch/scripting_project_airquality

Language: Jupyter Notebook - Size: 527 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

nikapotato/dimensionality-reduction

The key dimensionality reduction techniques: ISOMAP, PCA (Principal Component Analysis), and t-SNE (t-Distributed Stochastic Neighbor Embedding) are presented and compared.

Size: 1.77 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

saini-dhiraj/Data-Dimension-Reduction

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

saikrishnabudi/PCA-Principal-Component-Analysis

Data Science - PCA (Principal Component Analysis)

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

opsabarsec/E-commerce-customers-automatic-clustering

E-commerce customers automatic grouping by unsupervised ML/AI. Data from the Kaggle Olist dataset

Language: Jupyter Notebook - Size: 51.1 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 2

antinos/T-SNE-ImageJ

An ImageJ/Fiji port of Leif Jonsson's pure Java t-SNE (https://github.com/lejon/T-SNE-Java)

Language: Java - Size: 52 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

egorumaev/2023-cirrhosis-outcomes

Прогнозирование исхода лечения пациентов с циррозом печени

Language: Jupyter Notebook - Size: 5.64 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nunososorio/Reduce.Streamlit.App

This application provides an interactive visualization of dimensionality reduction techniques applied to a 2D and 3D demo datasets. The dimensionality reduction methods used in this application are PCA, t-SNE, and UMAP. This application is for educational purposes.

Language: Python - Size: 42 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ZYK100/LLCM

[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Language: Python - Size: 4.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 66 - Forks: 8

ebeyabraham/tsne-viz

t-SNE visualisation of CNN features

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mmaguero/twitter-analysis Fork of jayinai/twitter-analysis

Topic-modeling on large data (1.85M tweets written in Spanish, ~1M "Spain geolocated", about 'coronavirus' between 2019 to 2020-04-20). Forked from ShuaiW/twitter-analysis (adapted for Python3 to use a discriminative score), mainly for Twitter LDA (Latent Dirichlet allocation using Gibbs sampling, https://lda.readthedocs.io/)

Language: Python - Size: 51.8 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

pranaysingh25/Experimental-Study-on-Dimensionality-Reduction-and-Data-Visualization

The project was based on Dimensionality Reduction Algorithms in which I used various compression methods to examined their dynamics in terms of speed and clustering efficiency.

Language: Jupyter Notebook - Size: 653 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

DiegoUsaiUK/K_Medoid_Clustering

Segmenting with Mixed Type Data - A Case Study Using K-Medoids on Subscription Data

Size: 757 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

bhachauk/dimensionality_reduction

Simple repo of Dimensionality Reduction :sparkles: and 3D Visualization :bar_chart:

Language: Python - Size: 48.8 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

0011001011/vizuka

Explore high-dimensional datasets and how your algo handles specific regions.

Language: Python - Size: 3.07 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 108 - Forks: 6

Duvindu/DataScience-Notebooks

Notebooks containing various tools useful for data science

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Ala-Eddine-BOUDEMIA/Chromatin-Dynamics

Integrated Analysis of Co-expression Patterns of Histone Variants and their Chaperones Across Tissues from Publicly Available RNA-Seq Data

Language: HTML - Size: 3.65 GB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

pratiknabriya/tSNE-DonorsChoose

Applying t-SNE technique for Data Visualization of high-dimensional DonorsChoose dataset

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Kafri-Lab/Cell-t-SNE

Visualize similar cells on a 2D plot using t-SNE

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vidhig/covid19-research-data-analysis

COVID-19 Exploratory Analysis of the Research Papers. The dataset source is from Kaggle

Language: Jupyter Notebook - Size: 43.5 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 2

Cody-Lange/Milestone-2-Spotify-Music-Clustering-with-Unsupervised-Learning

Clustering music genres with audio data fetched from the Spotify API, features generated from Librosa, K-Means clustering, agglomerative clustering, and PCA/ t-SNE dimensionality reduction

Language: Jupyter Notebook - Size: 8.21 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

m1ma0314/CSE185Group16_TeeSnee

TeeSnee is an algorithm designed to take high-dimensional gene expression data and represent it in low-dimensional space.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

paulinamoskwa/Breast-Cancer

Breast cancer classification project featuring eda, pca, t-sne analysis and several classifiaction algorithms 📊

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AlessandroDiLauro/Unsupervised-Learning-Techniques

Language: Jupyter Notebook - Size: 813 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

db15patel/Clustering-and-Classification-on-Twisted-Fashion-MNIST-dataset

Welcome to the Clustering and Classification on Twisted Fashion MNIST Dataset repository! This project explores the application of clustering and classification algorithms on the challenging "Twisted" version of the Fashion MNIST dataset.

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alaBay94/Sentiment-analysis-amazon-Products-Reviews

NLP with NLTK for Sentiment analysis amazon Products Reviews

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coderjolly/chest-x-ray-classification

This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.

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