AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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

A curated list of Best Artificial Intelligence Resources

gesture recognition toolkit

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

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

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

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

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

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

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

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

HMM based on KMeans and GMM

经典机器学习算法的极简实现

🎨 A k-means color scheme generator.

Absolute balanced kdtree for fast kNN search.

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

A simple machine learning framework written in Swift 🤖

k-means clustering library and binary to find dominant colors in images