Search Results for "batch text replace" - Page 5

dosbat is a major mode for editing DOS batch files in Emacs. dosbat performs syntax highlighting and will add features common to other Emacs modes such as comment region, code templates, or other things people find useful.

ZWebEdit is a Java applet that is designed to replace the <textarea> tag with a rich Java text editor designed for editing HTML / code in a browser. ZWebEdit does not create a its own filesystem; it is designed to work with Zope or standalone.

Replacehex is a command line search and replace utility that works with hex codes strings. It can operate on both binary and text files efficiently. A great tool to work on binary data files. First developed to replace mac addresses inside a pcap capture

Tomato is an experimental Java application development environment which aims to replace text-based Java programming with a point-and-click visual programming language. The prototype works sufficiently to help develop parts of itself.

RteMulti is a multi-functional WYSIWYG-Editor module for nuked CMS like MDPro and Postnuke. RTE can replace all TEXTAREA-fields in every module. The next generation of RTE runs on: MSIE 5.5 SP1+ (Windows), Mozilla 1.3+/Firefox 0.8+ (Win,Linux,MacOS)

Guber, short for Gutenberg renamer, renames text files provided by the Gutenberg project into the format "Author, Title" by automatically extracting the relavent information from the text file. Guber can do single files or Batch processing of a directo

JFindReplace is a java based find and replace utility. It allows you to select files and folders. You can replace text in several thousands of files in one click. It supports regular expressions and have a neat UI.

PyKit includes some small applications written in python, such as batch renaming, text processing and so on.

Bio_ClinicalBERT is a domain-specific language model tailored for clinical natural language processing (NLP), extending BioBERT with additional training on clinical notes. It was initialized from BioBERT-Base v1.0 and further pre-trained on all clinical notes from the MIMIC-III database (~880M words), which includes ICU patient records. The training focused on improving performance in tasks like named entity recognition and natural language inference within the healthcare domain. Notes were...