GitHub-проекты

Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)

Neural networks, regression and feature learning in Clojure.

Clojure wrapper for deeplearning4j with some added syntactic sugar.

A fast Clojure Tensor & Deep Learning library

Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]

General Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]

Basic Machine Learning algorithms in Clojure. [Deprecated]

A genetic programming library for Clojure. [Deprecated]

Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets). [Deprecated]

Inference and machine learning in Clojure. [Deprecated]

Simple, concise implementations of machine learning techniques and utilities in Clojure.

The Push programming language and the PushGP genetic programming system implemented in Clojure.

Clojure A/B testing library.

A machine learning library for Clojure built on top of Weka and friends.

A idiomatic Clojure machine learning library based on tech.ml.dataset with a unique approach for immutable data processing pipelines.

Rails-like inflection library for Clojure and ClojureScript.

Natural Language Processing in Clojure (opennlp).

Implementation of Random Forest in Common Lisp.

Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).

Wrapper for the libsvm support vector machine library. [Deprecated]

Evolutionary algorithms. [Deprecated]

Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.

The fastest deep reinforcement learning library for continuous control, implemented header-only in pure, dependency-free C++ (Python bindings available as well).

The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet. [Deprecated]

An offline speech recognition toolkit with C++ support, designed for low-resource devices and multiple languages.

Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.

A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.

Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.

C, C++, and Python tools for named entity recognition and relation extraction

MeTA : ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.

C++ library for the FoLiA format

Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.

C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.

BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).

A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.

An Easy-to-Use and High-Performance AI deployment framework.

Comprehensive backpropagation tool for C++.

A platform for reproducible and scalable machine learning and deep learning.

A data-intensive platform for AI with the industry's first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications.

A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.

A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.

A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives".

A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.

A fast SVM library on GPUs and CPUs.

A fast library for GBDTs and Random Forests on GPUs.

A parallelized optimized general purpose gradient boosting library.

A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.