650 Open source projects that are alternatives of or similar to Ml Lib

PHP-ML - Machine Learning library for PHP

Implementing machine learning algorithms from scratch.

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

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Examples how MLJAR can be used

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Learning to Cluster. A deep clustering strategy.

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

A simple machine learning framework written in Swift 🤖

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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

My main Machine Learning class

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Machine Learning Concepts with Concepts

A modular active learning framework for Python

A Python Package for Density Ratio Estimation

Heart Disease prediction using 5 algorithms

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Vectorized Machine Learning in Python 🐍 From Scratch

Implementing Clustering Algorithms from scratch in MATLAB and Python

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

100-Days-Of-ML-Code中文版

A library of extension and helper modules for Python's data analysis and machine learning libraries.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

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

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

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

Python learning to rank (LTR) toolkit

Complete-Life-Cycle-of-a-Data-Science-Project

Machine Learning Course @ Santa Clara University

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

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

Java Statistical Analysis Tool, a Java library for Machine Learning

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

A PureScript, browser-based implementation of LDA topic modeling.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

A simply budget app that predicts where the expenses are being made

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

Code for unsupervised aspect extraction, using Keras and its Backends

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Minimal and clean examples of machine learning algorithms implementations

Machine learning plugins for network traffic

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

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Python toolkit for pluggable algorithms and data structures for multimedia-based machine learning.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)