AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Plain python implementations of basic machine learning algorithms

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

gesture recognition toolkit

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

A simple machine learning framework written in Swift 🤖

HMM based on KMeans and GMM

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

🎨 A k-means color scheme generator.

Absolute balanced kdtree for fast kNN search.

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

golang package to find the K most dominant/prominent colors in an image

This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

A curated list of Best Artificial Intelligence Resources

Dynamically get the suggested clusters in the data for unsupervised learning.

A practical guide to topic mining and interactive visualizations

How to initialize Anchors in Faster RCNN for custom dataset?

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and respond to rapidly spreading COVID-19 promptly.

KMeans for big data using preconditioning and sparsification, Matlab implementation

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

machine learning algorithms in Swift

K-Means clustering

A script to perform a word embeddings clustering using the K-Means algorithm

Super fast simple k-means implementation for unidimiensional and multidimensional data.

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

Animated Visualizations of Popular Machine Learning Algorithms