Showing 15 open source projects for "ml"

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  • 1
    Rubix ML

    Rubix ML

    A high-level machine learning and deep learning library for PHP

    Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects.
    Downloads: 4 This Week
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  • 2
    The Algorithms Python

    The Algorithms Python

    All Algorithms implemented in Python

    The Algorithms-Python project is a comprehensive collection of Python implementations for a wide range of algorithms and data structures. It serves primarily as an educational resource for learners and developers who want to understand how algorithms work under the hood. Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization. The project covers various domains including mathematics, cryptography, machine learning, sorting,...
    Downloads: 7 This Week
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  • 3
    Machine Learning Octave

    Machine Learning Octave

    MatLab/Octave examples of popular machine learning algorithms

    ...Code written so as to expose and comment on mathematical steps. The repository includes clustering, regression, classification, neural networks, anomaly detection, and other standard ML topics. Does not rely heavily on specialized toolboxes or library shortcuts.
    Downloads: 0 This Week
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  • 4
    X For You Feed Algorithm

    X For You Feed Algorithm

    Algorithm powering the For You feed on X

    X For You Feed Algorithm is the open-sourced core recommendation system that powers the For You feed on X (the social network formerly known as Twitter), and it represents one of the first times a major social platform has published production-level ranking code for public review and experimentation. The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and...
    Downloads: 0 This Week
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  • 5
    DecisionTree.jl

    DecisionTree.jl

    Julia implementation of Decision Tree (CART) Random Forest algorithm

    Julia implementation of Decision Tree (CART) and Random Forest algorithms.
    Downloads: 3 This Week
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  • 6
    Machine Learning Cheat Sheet

    Machine Learning Cheat Sheet

    Classical equations and diagrams in machine learning

    ...Each section is presented concisely, often with diagrams, formula snippets, and short explanatory notes to serve as quick reference for students, practitioners, or interview prep. The repository is ideal for those who want a compact, at-a-glance reminder of ML fundamentals without diving back into textbooks. Because the cheat sheet is meant to be portable and broadly useful, it is format-friendly (often in Markdown, PDF, or image formats) and easy to include in learning workflow or slides.
    Downloads: 0 This Week
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  • 7
    LibSEDML: Sharing Simulation Experiments
    This project hosts a library and tools for sharing simulation experiments encoded using SED-ML.
    Downloads: 0 This Week
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  • 8
    PRMLT

    PRMLT

    Matlab code of machine learning algorithms in book PRML

    This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for...
    Downloads: 0 This Week
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  • 9
    pyhanlp

    pyhanlp

    Chinese participle

    ...The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch.
    Downloads: 0 This Week
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  • 10
    Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
    Downloads: 5 This Week
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  • 11
    ...Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text. The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the following paper: Ehsan Emadzadeh, Azadeh Nikfarjam, and Graciela Gonzalez. 2011. Double Layered Learning for Biological Event Extraction from Text. In Proceedings of the BioNLP 2011 Workshop Companion Volume for Shared Task, Portland, Oregon, June. Association for Computational Linguistic
    Downloads: 0 This Week
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  • 12
    Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.
    Downloads: 0 This Week
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  • 13
    KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
    Downloads: 0 This Week
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  • 14
    Model-based AI planner using binary decision diagrams. PropPlan parses PDDL descriptions of the domain and the problem, and outputs a plan.
    Downloads: 0 This Week
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  • 15
    Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
    Downloads: 0 This Week
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