GitHub-проекты

Distributed machine learning library in Spark.

An open source implementation of methods for multi-label classification and evaluation (extension to Weka).

Distributed machine learning library in Flink.

Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)

Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text.

A tool kit for processing text using computational linguistics.

A machine learning based toolkit for the processing of natural language text.

A Java-based package for statistical natural language processing, document classification, clustering, topic modelling, information extraction, and other machine learning applications to text.

Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.

A plotting library.

Curated list of ML related resources for Clojure.

Fast Clojure Matrix Library (native CPU, GPU, OpenCL, CUDA)

ClojureScript has Native JavaScript Interop from which JavaScript's ML ecosystem can be accessed

Clojure has Native Java Interop from which Java's ML ecosystem can be accessed

Incanter is a Clojure-based, R-like platform for statistical computing and graphics.

Bindings to Apache MXNet - part of the MXNet project

Wrapper for XGBoost

CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. [Deprecated]

Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks. [Deprecated]

An open source framework for packaging and serving ML models.

A relational column-oriented database designed for real-time analytics on time series and event data.

A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.

A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling.

A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage.

A scalable C++ machine learning library.

The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.

General purpose graph library.

A suite of ML tools designed to be easy to imbed in other applications.

A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding.

This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]

OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.

Eblearn is an object-oriented C++ library that implements various machine learning models [Deprecated]

Specialized AI vision for extracting engineering specs from PDF/JPG to Excel.

VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.

A C library implementing the rudiments of a toolchain for working with adaptive probabilistic assembler programs.

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gpt-computer-assistant

github.com

dockerized mcp client with Anthropic, OpenAI and Langchain.