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

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

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

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

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

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

🎨 A k-means color scheme generator.

经典机器学习算法的极简实现

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

Absolute balanced kdtree for fast kNN search.

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

Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.