Search Results for "tiny-core-plus"
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Showing 32 open source projects for "tiny-core-plus"
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Kaldi
kaldi-asr/kaldi is the official location of the Kaldi project
Kaldi is an open source toolkit for speech recognition research. It provides a powerful framework for building state-of-the-art automatic speech recognition (ASR) systems, with support for deep neural networks, Gaussian mixture models, hidden Markov models, and other advanced techniques. The toolkit is widely used in both academia and industry due to its flexibility, extensibility, and strong community support. Kaldi is designed for researchers who need a highly customizable environment to... -
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eGuideDog project develops free software for the blind. Currently, we focus on WebSpeech, Ekho TTS and WebAnywhere.
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Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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Safe Harbor Deidentification
Safe Harbor Deidentification for medical documents
Phalanx - Deidentify Safe Harbor Deidentification Mode of Phalanx is an abridged pipeline of NLP annotators culminating in NER annotators which write output of text offsets. It uses the Safe Harbor deidentification method. -
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StarkOX
Open Source Robot Operating System
StarkOX, the first universal Open Source AI Robot Operating System. It provides easy to use hardware abstraction and commonly-used functionality. Furthermore, strong cognitive functions, voice and pattern detection together with a new powerful scripting language provide possibilities to create and share abstract behavior patterns. -
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MicroGP
A multi-purpose extensible self-adaptive evolutionary algorithm
MicroGP (µGP, ugp) is a versatile optimizer able to outperform both human experts and conventional heuristics in finding the optimal solution of hard problems. It is an evolutionary algorithm since it mimics some principles of the Neo-Darwinian paradigm. ⚠️ A new version is available on https://github.com/squillero/microgp4 -
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BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are... -
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We have implemented a core summarizer of scientific articles written in Spanish, with the following components: a tokenizer, a grammar checker, a clarity checker, a cohesion-coherence checker, a common-topic extractor and an output formatter.
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aCompute
Aims to enable researcher to tap in to mobile computing capability
This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need to... -
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The Thot toolkit repository has moved to http://daormar.github.io/thot/ Thot is a toolkit for statistical machine translation. The new Thot toolkit includes fully automatic and interactive machine translation, incremental training of statistical models, parallel estimation, ...
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Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...
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Featurama is a library that implements various sequence-labeling algorithms. Currently Michael Collins' averaged perceptron algorithm is fully implemented.
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The Moses repository has moved: https://github.com/moses-smt/mosesdecoder Factored phrase-based, hierarchical and syntax decoder for statistical machine translation
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).
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This is an NIDS/HIDS, Network plus Host based Intrusion Detection System. Este é um NIDS / HIDS, Sistema de Detecção de Invasões Baseado em Redes e em Máquinas.
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PlexBench is a cross-platform, web-enabled, analysis tool that is driven by a scalable backpropagation feed-forward neural network. It uses embedded Perl for scripting and is written in the style of an in-process Component Object Model (COM) C++ program.
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BCAR is a library for the associative classification, which denotes "Boosting Class Association Rules". BCAR provides a general tool for classification tasks with various types of input data.
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openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.
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The Introspector enables the programming tools that deal with source code such as the compiler to communicate in a standard and neutral manner reducing the accidental cost of programming. http://github.com/h4ck3rm1k3/
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mySQL db app that stores chemical structures, calc. descriptors and property values. It has a descriptor calculator and a method that filters descriptors correlated with property values. Easy to plug-in your descriptor calc. Ideal for QSAR specialists!
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Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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Maiden-core is a Linux kernel robotics API module, extensible in Erc. The Maiden Project also documents and develops the Maiden architecture for mobile robots, a set of (optional) designs and standards for robots using the Maiden-core API.
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Multilayered feed-forward neural network software written in C++. Backpropagation and RPROP are available as training algorithms. Design goals: speed of execution when calculating the output to new data, and quality of training (preprocessing: PCA).
