Search Results for "rtp-text"
Sort By:
Showing 14 open source projects for "rtp-text"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
1
MinDoc
Document management system developed for the IT team
MinDoc is a simple and easy-to-use document management system developed for the IT team. MinDoc's predecessor was the SmartWiki document system. SmartWiki is a document management system developed based on the PHP framework laravel. Because the deployment of PHP is too complicated for ordinary users, it was developed instead of Golang. It can facilitate user deployment and practicality. The starting point for development is that the company's IT department needs a simple and practical system... -
2
D2
D2 is a modern diagram scripting language that turns text to diagrams
D2 is a diagram scripting language that turns text to diagrams. It stands for Declarative Diagramming. Declarative, as in, you describe what you want diagrammed, it generates the image. As well, the functioning of the install script is described in detail to alleviate any concern of its use. We recommend using your OS's package manager directly instead for improved security but the install script is by no means insecure. -
3
gse
Go efficient multilingual NLP and text segmentation
...Support multilingual: English, Chinese, Japanese and others. Support Traditional Chinese. Support HMM cut text use Viterbi algorithm. Support NLP by TensorFlow (in work). Named Entity Recognition (in work). Supports with elastic search and bleve. run JSON RPC service. -
4
golangci-lint
Fast linters Runner for Go
...It runs linters in parallel, uses caching, supports yaml config, has integrations with all major IDE and has dozens of linters included. ⚡ Very fast: runs linters in parallel, reuses Go build cache and caches analysis results. Yaml-based configuration. Integrations with VS Code, Sublime Text, GoLand, GNU Emacs, Vim, Atom, GitHub Actions. A lot of linters included, no need to install them. Minimum number of false positives because of tuned default settings. Nice output with colors, source code lines and marked identifiers. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
Render
Go package for easily rendering JSON, XML, binary data, and HTML
...XML: Uses the encoding/xml package to marshal data into an XML-encoded response. Binary data: Passes the incoming data straight through to the HTTP.ResponseWriter. Text: Passes the incoming string straight through to the http.ResponseWriter. Render comes with a variety of configuration options. By default Render will attempt to load templates with a '.tmpl' extension from the "templates" directory. -
6
goldmark
A markdown parser written in Go. Easy to extend, standard, compliant
...Furthermore, its behavior differs from other implementations in some cases, especially regarding lists: Deep nested lists don't output correctly #329, List block cannot have a second line #244, etc. This behavior sometimes causes problems. If you migrate your Markdown text from GitHub to blackfriday-based wikis, many lists will immediately be broken. As mentioned above, CommonMark is complicated and hard to implement, so Markdown parsers based on CommonMark are few and far between. -
7
PTerm
PTerm is a modern Go module to easily beautify console output
PTerm is a modern TUI framework written in Go to beautify console output. It supports interactive printers, such as select menus and confirm prompts, as well as live printers, such as progress bars and spinners. It also features text printers for sections, headers, and info/warning/... messages. PTerm has support for visualization, with printers such as bar charts, tables, trees and much more. You can also create custom layouts with grid panels and centered content. It's completely configurable and 100% cross-platform compatible. Our first priority is to keep PTerm as easy to use as possible. ... -
8
GoAWK
A POSIX-compliant AWK interpreter written in Go, with CSV support
GoAWK now uses a bytecode compiler and includes native support for CSV files. AWK is a fascinating text processing language, and The AWK Programming Language is a wonderfully concise book describing it. The A, W, and K in AWK stand for the surnames of the three original creators: Alfred Aho, Peter Weinberger, and Brian Kernighan. Kernighan is also an author of The C Programming Language (“K&R”), and the two books have that same each-page-packs-a-punch feel. -
9
Zinc Search Engine
ZincSearch. A lightweight alternative to elasticsearch
Zinc is a search engine that does full text indexing. It is a lightweight alternative to Elasticsearch and runs using a fraction of the resources. It uses bluge as the underlying indexing library. It is very simple and easy to operate as opposed to Elasticsearch which requires a couple dozen knobs to understand and tune which you can get up and running in 2 minutes. You can index large amounts of text Zinc and search instantly. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
10
gophernotes
The Go kernel for Jupyter notebooks and nteract
...It lets you use Go interactively in a browser-based notebook or desktop app. Use gophernotes to create and share documents that contain live Go code, equations, visualizations and explanatory text. These notebooks, with the live Go code, can then be shared with others via email, Dropbox, GitHub and the Jupyter Notebook Viewer. Go forth and do data science, or anything else interesting, with Go notebooks! This project utilizes a Go interpreter called gomacro under the hood to evaluate Go code interactively. The gophernotes logo was designed by the brilliant Marcus Olsson and was inspired by Renee French's original Go Gopher design. ... -
11
VideoSrt
Windows-GUI
...Open source software tool that can recognize video speech and automatically generate subtitle SRT files. It is suitable for business scenarios that quickly and batch generate Chinese/English subtitles and text files for media (video/audio). Recognize video/audio speech to generate subtitle files (support Chinese-English translation, bilingual subtitles) Extract speech text from video/audio. Batch translation, filter processing/encoding SRT subtitle files. Using the Alibaba Cloud speech recognition interface, the accuracy is high, and the standard Mandarin/English recognition rate is over 95%. ... -
12
Wombat
Cross platform gRPC client
Cross-platform gRPC client. -
13
Athena
Drop-in replacement for wkhtmltopdf built on Go, Electron and Docker
...Simple, Docker-powered PDF conversions. It was designed to do one thing and to do it well - PDF conversions; to work together with other programs; and to be able to handle text streams, because that is a universal interface. It aims to give users an on-demand capability to convert HTML to PDF without frills. At the lowest level, its CLI component (athenapdf) was designed to be an alternative / drop-in replacement for wkhtmltopdf, a popular CLI tool for HTML to PDF conversions. Because of Docker the CLI syntax is a bit more complex but it's much more reliable. -
14
go_spider
An awesome Go concurrent Crawler(spider) framework
...It can be expanded to an Individualized crawler easily or you can use the default crawl components only. Spider gets a Request in Scheduler that has url to be crawled. Then Downloader downloads the result(html, json, jsonp, text) of the Request. The result is saved in Page for parsing in PageProcesser. Html parsing is based on goquery package. Json parsing is based on simple JSON package. Jsonp will converse to json. Text form represents plain text content without a parser. The PageProcesser moduler only parse results. The moduler gets results(key-value pairs) and URLs to be crawled next step. ...
- Previous
- You're on page 1
- Next