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ParaMonte is a serial and parallel library of Monte Carlo routines for sampling mathematical density functions of arbitrary dimensions and machine learning algorithms for scientific inference. It is designed for interoperability with C, C++, Fortran, MATLAB and Python, and supports shared-memory OpenMP threads and MPI distributed communications.
Pavlov.js is a reinforcement learning library that uses Markov Decision Processes. It is written in C++ and compiled to JavaScript. The package is installed through npm. Users define transitions and rewards, then call learn to derive a policy and query actions for states.
python-timbl is a Python extension module wrapping the full TiMBL C++ programming interface, exposing all functionality of the C++ interface to Python scripts for prototyping TiMBL-based applications. It was originally developed by Sander Canisius, with a 2013 release by Maarten van Gompel, and since 2020 supports only Python 3. It is distributed under the GNU General Public License.
Recommender is a C library for product recommendations and suggestions using collaborative filtering. It analyzes implicit and explicit user feedback and item preferences, then predicts suitable products for a user. It offers user-based and item-based recommenders and has no external dependencies. It builds into libRecommender.a and is released under the BSD-2-Clause license.
A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.
A pure Rust tokenizer library that reads tokenizers directly from GGUF model files, requiring no Python, C++ or separate tokenizer files. It supports SPM, BPE, WPM, RWKV and UGM tokenizers tested token-for-token against llama.cpp, and offers batch encoding with optional Rayon parallelism. MIT licensed.
Sourcecodester publishes free source code projects and tutorials across languages including Python, PHP, Visual Basic, C#, Java, JavaScript, C/C++, HTML/CSS and SQL. Posts present complete project source code with descriptions, such as an online food ordering system built with PHP and MySQL or a drug recommendation system using machine learning, PHP and MySQL.
An open-source resource for learning data structures and algorithms through implementations in various programming languages. The site covers programming languages including Python, Java, JavaScript, Go, Rust, and C++, and organizes algorithms into categories such as sorting, searching, and graph algorithms. It also provides guidance on contributing implementations.
VLFeat is an open-source library of computer vision algorithms focused on image understanding and local feature extraction and matching. Algorithms include SIFT, MSER, Fisher Vector, VLAD, k-means, SLIC superpixels, and SVM training. It is written in C with MATLAB interfaces and supports Windows, Mac OS X, and Linux.
XGBoost is a scalable, portable and distributed gradient boosting library. It supports multiple programming languages including Python, R, Java, Scala and C, and can run on single machines or distributed frameworks such as Hadoop, Spark, Dask, Flink and DataFlow.
