43 Open source projects that are alternatives of or similar to kelp-core

Map SDK를 활용한 POI Clustering Interaction Dev

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Different clustering approaches applied on different problemsets

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

interactive clustering platform

使用 Keras 进行中文文本分类

Automated coding using machine-learning and remapping the U.S. nonprofit sector: A guide and benchmark

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

A high performance implementation of HDBSCAN clustering.

spatially-constrained clustering in R

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Fast OPTICS clustering in Cython + gradient cluster extraction

Implements "Clustering a Million Faces by Identity"

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Implementation of ST-DBSCAN algorithm based on Birant 2007

Elixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data

An intuitive implementation of spectral clustering on matlab

Cluster analysis library for Golang

ADENINE: A Data ExploratioN PipelINE

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Python Clustering Algorithms

Single-cell exploratory data analysis for RNA-Seq

k-means clustering algorithm with k-means++ initialization.

A clustering tutorial with scikit-learn for beginners.

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Implementation of the Neural Clustering Process algorithm in Pytorch

David Mackay's book review and problem solvings and own python codes, mathematica files

Map SDK를 활용한 POI Clustering Interaction Dev.

Random Fourier Features

This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.

A collection of important graph embedding, classification and representation learning papers with implementations.

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Fast Best-Subset Selection Library

Classifying the Blur and Clear Images

🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

ML algorithm for real-time classification

Vote ALlocating Immune System, an immune-inspired classification algorithm

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

DataCLUE: 数据为中心的NLP基准和工具包

Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands

Data Visualization and Machine Learning with Iris Dataset.