Search Results for "python text parser" - Page 36
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Showing 1547 open source projects for "python text parser"
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MuLanPa
transfer text in diverse formats into specific xml parser-trees
MuLanPa is a source-analyser with a configurable parser and may be may be used for several programming-languages. Its xml-output should be used for tools like project-browsers or code-viewers like moritz (www.sourceforge.net/projects/moritz/) . -
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googler
Google Search, Google Site Search, Google News from the terminal
googler is a power tool to Google (Web & News) and Google Site Search from the command-line. It shows the title, URL and abstract for each result, which can be directly opened in a browser from the terminal. Results are fetched in pages (with page navigation). Supports sequential searches in a single googler instance. googler was initially written to cater to headless servers without X. You can integrate it with a text-based browser. However, it has grown into a very handy and flexible... -
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phpsploit
Full-featured C2 framework which silently persists on webserver
Full-featured C2 framework which silently persists on webserver via polymorphic PHP oneliner. The obfuscated communication is accomplished using HTTP headers under standard client requests and web server's relative responses, tunneled through a tiny polymorphic backdoor. Detailed help for any option (help command) Cross-platform on both client and server. CLI supports auto-completion & multi-command. Session saving/loading feature & persistent history. Multi-request support for large... -
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Tashkeela processed
Tashkeela dataset cleaned and normalized.
A version of the Tashkeela Arabic diacritized text dataset cleaned from the non-Arabic content and the undiacritized text, then divided into training, development, and testing sets. The cleaning process includes removing the XML tags and strange symbols, as well as fixing diacritics errors. After that, the tokenization is performed while focusing on the extraction of the Arabic words. The result is a space-separated tokens file, where the words and the numbers are separated, but not the... -
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Moritz
transfer xml into specific text-formats (html, dot, source-code, ...)
Moritz is an "addon" to the well known tool doxygen. It generates nassi shneiderman diagramms of functions and methods in a c/c++ source as html-files, which could be included in a software-dokumentaion or simple whached by using a html-browser. -
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React-Native-Parsed-Text
Parse text and make them into multiple React Native Text elements
react-native-parsed-text is a React Native component that enables parsing and styling of substrings within a text block. It allows developers to identify patterns like URLs, phone numbers, or emails and apply custom styles or actions to them. -
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Turi Create
Simplifies the development of custom machine learning models
Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app. If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code. Turi Create supports macOS 10.12+, Linux (with glibc 2.10+), Windows 10 (via WSL). Turi Create requires Python 2.7, 3.5, 3.6, 3.7,... -
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Leseratte is a Java parser for German written language. Currently, it contains a German lexicon (based on the Wiktionary), inflexion rules, a grammar and a parser. (Semantics component planned.) Usable as a Java library, also provides a graphical UI.
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DeText
A Deep Neural Text Understanding Framework
DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks. -
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Multilingual Speech Synthesis
An implementation of Tacotron 2 that supports multilingual experiments
This repository provides synthesized samples, training and evaluation data, source code, and parameters for the paper One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech. It contains an implementation of Tacotron 2 that supports multilingual experiments and that implements different approaches to encoder parameter sharing. It presents a model combining ideas from Learning to speak fluently in a foreign language: Multilingual speech synthesis and cross-language voice... -
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Rdbtools
Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON
Rdbtools is a parser for Redis' dump.rdb files. The parser generates events similar to an XML sax parser and is very efficient memory-wise. Rdbtools is written in Python, though there are similar projects in other languages. Every run of RDB Tool requires to specify a command to indicate what should be done with the parsed RDB data. Valid commands are JSON, diff, justkeys, justkeyvals and protocol. -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
Sparse Attention is OpenAI’s code release for the Sparse Transformer model, introduced in the paper Generating Long Sequences with Sparse Transformers. It explores how modifying the self-attention mechanism with sparse patterns can reduce the quadratic scaling of standard transformers, making it possible to model much longer sequences efficiently. The repository provides implementations of sparse attention layers, training code, and evaluation scripts for benchmark datasets. It highlights... -
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BlockSci
A high-performance tool for blockchain science and exploration
The Bitcoin blockchain, currently 280 GB and growing, contains a massive amount of data that can give us insights into the Bitcoin ecosystem, including how users, businesses, and miners operate. BlockSci enables fast and expressive analysis of Bitcoin’s and many other blockchains. Current tools for blockchain analysis depend on general-purpose databases that provide "ACID" guarantees. But that’s unnecessary for blockchain analysis where the data structures are append-only. We take advantage... -
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NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP
NLP-Models-Tensorflow is a collection of natural language processing model implementations built using the TensorFlow deep learning framework. The repository provides numerous examples of neural network architectures used in modern NLP research and applications, including text classification, language modeling, machine translation, and sentiment analysis. Each model implementation is designed to illustrate how common NLP architectures operate, such as recurrent neural networks, convolutional... -
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
Visual regression tool used to compare baseline and updated instances of a website in a deployment pipeline. FRED is an opensource visual regression tool used to compare two instances of a website. FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the... -
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Delta ML
Deep learning based natural language and speech processing platform
Text classification, named entity recognition, question and answering, text summarization, etc. Uniform I/O interfaces and no changes for new models. -
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TFKit
Handling multiple nlp task in one pipeline
TFKit is a tool kit mainly for language generation. It leverages the use of transformers on many tasks with different models in this all-in-one framework. All you need is a little change of config. You can use tfkit for model training and evaluation with tfkit-train and tfkit-eval. The key to combine different task together is to make different task with same data format. All data will be in csv format - tfkit will use csv for all task, normally it will have two columns, first columns is the... -
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Free Queue Manager
Web based python-flask Queue management system
A web based management system developed for the purpose of easing the process of orgnizing queues and lines. Like many other (QMS)s Queue Management Systems, FQM does provide a basic dashboard to allow the users of the system and customers alike to interact with the system via a basic yet simple user interface . Brief user guide can be found on https://fqms.github.io/images/user_guide.pdf -
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Provides a GUI interface to grammatical structure and relations (as parsed by the Stanford Parser) of any text.Contains grammatical relation editor to modify, import, export grammatical relation definitions (tregex patterns and features).
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javalang
Pure Python Java parser and tools
javalang is a pure Python library for working with Java source code. javalang provides a lexer and parser targeting Java 8. The implementation is based on the Java language spec. -
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ICDtools
Tools for ICD (International Classification of Diseases) data
Currently implemented: Python parser to import ICD10 XML data into a relational PostgreSQL database Sponsored by Ordium Biotechnology https://ordium.ai MIT License -
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GPT2 for Multiple Languages
GPT2 for Multiple Languages, including pretrained models
With just 2 clicks (not including Colab auth process), the 1.5B pretrained Chinese model demo is ready to go. The contents in this repository are for academic research purpose, and we do not provide any conclusive remarks. Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC) Simplifed GPT2 train scripts（based on Grover, supporting TPUs). Ported bert tokenizer, multilingual corpus compatible. 1.5B GPT2 pretrained Chinese model (~15G corpus, 10w steps).... -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and... -
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Tensorflow and deep learning
A crash course in six episodes for software developers
Tensorflow and deep learning repository is an educational deep learning crash course designed to help software developers quickly understand and apply machine learning concepts without requiring advanced academic background. It is structured as a series of guided lessons that combine theoretical explanations, practical examples, and runnable code, allowing learners to build intuition while actively experimenting with models. The repository covers core neural network concepts such as weights,... -
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Data Science at the Command Line
Data science at the command line
...To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.
