RegEx Generator
RegExr
rubular
RegexPlanet Ruby
Expresso
Reggy
The Regex Coach
Regex Widget
OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
RegEx Generator OpenCVBased on our record, OpenCV should be more popular than RegEx Generator. It has been mentiond 60 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It's not that bad. AutoRegex[0] and regex gen [1] make it more accessible than ever. [0]: https://www.autoregex.xyz/ [1]: https://regex-generator.olafneumann.org. - Source: Hacker News / 2 months ago
Whilst Regular Expressions are undeniably powerful --- virtually NOBODY knows how to set up Regular Expressions! There are a number of tools that help you build / test regular expressions, such as https://regex-generator.olafneumann.org/ or https://retool.com/utilities/regex-generator (no responsibilities accepted for the use of any of these tools!). Source: over 1 year ago
Ho did you arrive at the regex? I usually use a website to , such as https://regex101.com/, https://regexr.com/, https://regex-generator.olafneumann.org/ in combination of each other, as some explain better than the other. Source: almost 2 years ago
Is there a regex generator for Reddit's Automod or Python? I've already tried Googling "regex generator python" but I only came up with https://regex-generator.olafneumann.org/, https://pythex.org/, https://regex101.com/, and a whole bunch of build/testers. Olaf Neumann's generator seemed the most promising, but I couldn't get it to work because I didn't know how to separate each phrase, i.e. "you're dumb," "your... Source: about 2 years ago
Shout out to https://regex-generator.olafneumann.org/. Source: about 2 years ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 4 days ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 18 days ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
rubular - A ruby based regular expression editor
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
RegexPlanet Ruby - RegexPlanet offers a free-to-use Regular Expression Test Page to help you check RegEx in Ruby free-of-cost.
NumPy - NumPy is the fundamental package for scientific computing with Python