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K-medoids implementation.

Opssat Smartcam ⭐ 15

On November 8, 2020, this project achieved the first use of deep convolutional neural networks (CNN) on-board a spacecraft.

Aspdecsscl ⭐ 15

A Self-Supervised Contrastive Learning Framework for Aspect Detection

Image Clustering ⭐ 14

This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and resnet50 using the weights from ImageNet

Deletion Efficient Kmeans ⭐ 14

Research prototype of deletion efficient k-means algorithms

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Ml Algorithms Simple ⭐ 12

A collection of machine learning algorithms in python

Machine Learning ⭐ 12

machine-learning

Pdc Dp Means ⭐ 12

"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

Openlaw_tools ⭐ 12

基于数据新闻需求，分析openlaw裁判文书的工具。

Multilevel Wasserstein Means ⭐ 11

kmeans algorithm for GPU, with and without triangle inequality

Face_clustering ⭐ 11

Sort similar looking face pictures to clusters

K Means And K Modes ⭐ 11

Kmeans and kmodes implementation in Python

🎨 A tool program to set terminal colors from image

Landslides_detection ⭐ 10

Machine learning tool to detect landslides from optical satellite imagery

Cukmeans.py ⭐ 10

Implementation of the kmeans algorithm using pycuda

Emoticon Based Sentiment Analysis Python ⭐ 10

Sentiment Analysis using Emoji ranking and practical POS scoring approach

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Machine Learning Notebooks ⭐ 9

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

Multimodal Image Retrieval ⭐ 9

Explores early fusion and late fusion approaches for Multimodal medical Image Retrieval

Kmeans_mapreduce_thunders ⭐ 9

K-means on Map Reduce implementation (Python) for thunders locations clustering on South hemisphere

一个轻量级的机器学习框架（纯python+numpy实现的迷你版scikit-learn）

Dataweek Workshop ⭐ 9

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

Clustering and fuzzy-clustering library with integrated CLI

Interactivemachinelearning ⭐ 9

A Small KNN Application in PyGame for Education

Maxent Ner Tagger ⭐ 8

Maximum entropy named-entity recognition (NER)

Meanshift Kmeans Cluster ⭐ 8

Utilize Mean-Shift to generate initial centroids for K-Means

The Math Of Intelligence ⭐ 8

Implementation of Artificial Intelligence models without using any blackbox or libraries 😎

Anomaly Detection Libs ⭐ 8

Simple libraries for anomaly (outlier) detection

Raifhack Ds ⭐ 8

2 days DS hackathon at Raiffeisen

Machine Learning ⭐ 8

Repository for Machine Learning Notes

Knn From Scratch ⭐ 8

Building KNN algorithm from scratch in python

Useful ad ops algorithms to run more efficient optimizations, check bid ratios on SSPs, and verify what publishers have implemented ads.txt

Evaluate Kmeans Smote ⭐ 7

Evaluate the performance of the oversampling method KMeans-SMOTE

Kmeans_py2java ⭐ 7

Java calls the KMeans algorithm which is implemented by Tensorflow in Python, and stores the returns in Dataframe format of Spark.

Sentence Clustering ⭐ 7

Sentence Clustering and visualization. Created Date: 25 Apr 2018

Tsf Unsupervised Machine Learning ⭐ 7

Task: From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

K_means_iris_dataset ⭐ 7

KMeans Clustering for IRIS Dataset Classification

Kmeans_radec ⭐ 7

K means algorithm on the unit sphere

Davies_bouldin_index_kmeans ⭐ 7

This repository contains a naive implementation of Davies Bouldin Index used to find the optimum number of clusters in K-Means clustering.

Federated_kmeans ⭐ 7

Federated k-means clustering algorithm implementation and proof of concept.

Nlp Project Book Insights With Plotly ⭐ 7

Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.

Artificial Intelligence ⭐ 6

Implementing Artificial Neural Network training process in Python

Kmeans_to_pyldavis ⭐ 6

Visualizing k-means using pyLDAvis

Machine Learning Clustering Retrieval ⭐ 6

Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python

成信助手相关源代码（成信好老师，成信贴吧大数据，成信曝光台，成信新闻）

Elmo Kmeans ⭐ 6

GPU-accelerated Topic Analysis pipeline

Dataweek Workshop ⭐ 6

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

Kmeans Seo ⭐ 6

Color_recognition ⭐ 6

color recognition methods(kmeans and hsv)

Image_classification_using_sift ⭐ 6

sift + kmeans + td-idf + svm

Machine Learning Algorithms

Inflearn New Year Event 2020 ⭐ 6

기획자와 마케터를 위한 이벤트 댓글 분석 - feat. 인프런 새해 다짐 이벤트

Advance Machine Learning Kernel Method ⭐ 6

Advance machine Learning: Kernel methods implemented for PCA, KMeans, Logistic Regression, Support Vector Machine (SVM) and Support Vector Data Description (SVDD)

Kmeans Clustering ⭐ 6

Introduction and implementation of K-Means clustering.

🚀自我小结

Clustering_softmax_predictions ⭐ 5

Python implementations of clustering algorithms applied on the probability simplex domain (e.g. clustering of softmax predictions from Black-Box source models).

Kmeans Image Compression ⭐ 5

🌆 Image lossy-compression framework based on color-clustering

Constrained clustering algorithm that considers must-link and cannot-link constraints

Rph_kmeans ⭐ 5

KMeans with initial centers produced by Random Projection (RP)

Clustering_od ⭐ 5

K-means Clustering Algorithm in pure Python 3.5 (solved with Lloyds algorithm)

Cluster Embeddings ⭐ 5

Simple script to create clusters from embeddings in word2vec format

Cupy Parallel Kmeans Similarity Ranking ⭐ 5

GPU accerarated K-means, and similarity ranking engine

Gait-phase Estimation Module

Pp_yolo_pytorch_train ⭐ 5

Training my own dataset on pp_yolo models with Pytorch

Kmeans And Agglomerative Clustering On Mall Customers Dataset ⭐ 5

Kmeans & Hierarchical Agglomerative Clustering algorithms implementation on Mall Customers dataset

Kmeans_clustering ⭐ 5

Python implementation of k-means clustering algorithm.

Clitorisvulgaris ⭐ 5

A Twitter bot that produces new species of clitoris by projecting botanical illustrations onto a 3D model

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