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LayerNext is an AI data platform that facilitates the exploration, curation, labeling, training & analysis of large-scale Computer Vision data. Data is the heart of your computer vision model. Get insights on how your data impacts model performance using a frictionless data engine designed for rapid iteration. Build performant computer vision models faster.
Whether you're a small business striving for regulatory compliance or a large corporation managing complex operational procedures, Handbook simplifies automation and distribution your policies and procedures.
Living Language offers language learning in over 21 languages and in a variety of formats including online courses, apps for mobile devices, audio CDs, course books, or integrated into a Language Management System. Living Language was developed in 1946, based on language courses developed by the US State Department to be used by overseas diplomats.
Earworms MBT is based on the science behind catchy songs that stick in the head: the music acts as a catalyst for the memorization of words and anchors the new vocabulary deep in the long term memory. Each course comes with an integrated phrase-book that contains all the words and phrases spoken, plus the phonetic sounds of the word.
TheTalkList (TTL) on-demand per session tutoring system is a videoconferencing marketplace for language learning. Consumers get the best purchasing power in our automated platform that offers crowd sourced tutor selection, flexible scheduling, and social appeal.
LearnOasis offers language learning resources to help you learn a language efficiently and effectively.
Disco is a lightweight, open-source framework for distributed computing based on the MapReduce paradigm it distributes and replicates data, and schedules jobs efficiently it includes the tools need to index billions of data points and query them in real-time.
Brushfire is a framework for distributed supervised learning of decision tree ensemble models in Scala.
Encog is an advanced machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data, its training algoritms are multi-threaded and scale well to multicore hardware and can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train machine learning algorithms.
Apache SAMOA is a distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms it enables development of new ML algorithms without directly dealing with the complexity of underlying distributed stream processing engines (DSPEe, such as Apache Storm, Apache Flink, and Apache Samza) users can develop distributed streaming ML algorithms once and execute them on multiple DSPEs.
Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks (BNs), Markov networks (MNs), dependency networks (DNs), sum-product networks (SPNs), and arithmetic circuits (ACs), it focuses more on structure learning, especially for tractable models in which exact inference is efficient. Each algorithm in Libra is implemented as a command-line program suitable for interactive use or scripting, with consistent options and fi
mlpack is a scalable machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms, these algorithms as simple command-line programs and C++ classes which can then be integrated into larger-scale machine learning solutions.
NuPIC is an open source project based on a theory of neocortex called Hierarchical Temporal Memory (HTM) that can be used to analyze streaming data, it learns the time-based patterns in data, predicts future values, and detects anomalies and includes discussion groups on HTM theory, research on extending HTM, and source code for complete applications based on HTM.