311 Open source projects that are alternatives of or similar to php-kmeans

A high performance implementation of HDBSCAN clustering.

Machine Learning Concepts with Concepts

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

The "Python Machine Learning (1st edition)" book code repository and info resource

Machine Learning notebooks for refreshing concepts.

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

cuML - RAPIDS Machine Learning Library

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

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

A classified list of meta learning papers based on realm.

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

🍃 Using a Neural Network to improve web accessibility in JavaScript.

StellarGraph - Machine Learning on Graphs

Modeltime unlocks time series forecast models and machine learning in one framework

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

📊 Naive Bayes classifier for JavaScript

Launch machine learning models into production using flask, docker etc.

The repository provides usefull python scripts for ML and data analysis

Face identification with CNN + TPE using Keras

sources for daal4py - a convenient Python API to oneDAL

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

A fast xgboost feature selection algorithm

Learning to create Machine Learning Algorithms

Scala Library/REPL for Machine Learning Research

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

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DS&A. Give a Star 🌟 if it helps you.

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

A simple machine learning framework written in Swift 🤖

Analysis Pipeline for Single Cell ATAC-seq

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

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

AIXIjs - General Reinforcement Learning in the Browser

A Repository to store implementation of some of the famous Data Structures and Algorithms (mainly in C/C++/Java/Python) for everyone to learn and contribute.

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

A machine learning toolkit dedicated to time-series data

Reinforcement learning with A* and a deep heuristic

Lending Club Loan data analysis

A day to day plan for this challenge. Covers both theoritical and practical aspects

machine learning

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Log Anomaly Detection - Machine learning to detect abnormal events logs

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

a delightful machine learning tool that allows you to train, test, and use models without writing code

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Season 2 of @twosigma's artificial intelligence programming challenge

A script in python to organize your images by similarity.