With the Serializer component it's possible to handle serializing data structures, including object graphs, into array structures or other formats like XML and JSON. It can also handle deserializing XML and JSON back to object graphs.

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Mutual labels: json

Typescript Mern Starter

Build a real fullstack app (backend+website+mobile) in 100% Typescript

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Skillset

✨ Intuitive job-candidate skill visualization, taking advantage of D3.js and JSONResume.

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Crf Layer On The Top Of Bilstm

The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/

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Feedparser

feedparser gem - (universal) web feed parser and normalizer (XML w/ Atom or RSS, JSON Feed, HTML w/ Microformats e.g. h-entry/h-feed or Feed.HTML, Feed.TXT w/ YAML, JSON or INI & Markdown, etc.)

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Ngx Smooth Dnd

angular wrapper for smooth-dnd

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World Cup.json

Free open public domain football data for the world cups in JSON incl. Russia 2018 and more - No API key required ;-)

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Nlp bahasa resources

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

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Uxdm

🔀 UXDM helps developers migrate data from one system or format to another.

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Mishkal

Mishkal is an arabic text vocalization software

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Yaraguardian

Django web interface for managing Yara rules

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Chineseblue

Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

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Finnlp Progress

NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.

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Orjson

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

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Graphview

Flutter GraphView is used to display data in graph structures. It can display Tree layout, Directed and Layered graph. Useful for Family Tree, Hierarchy View.

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Logstash Logback Encoder

Logback JSON encoder and appenders

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Prayer Times Android

A useful Application with a set of tools needed by any muslim.

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Speech signal processing and classification

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

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Mutual labels: natural-language-processing

Crossbar

Crossbar.io - WAMP application router

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Spacymoji

💙 Emoji handling and meta data for spaCy with custom extension attributes

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Swagaf

Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"