Productivity Power Tools
rubular
RegExr
RegexPlanet Ruby
RegEx Generator
Expresso
Serendipity
Reggy
OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Productivity Power Tools OpenCVBased on our record, Productivity Power Tools should be more popular than OpenCV. It has been mentiond 479 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.
This looks really cool. I will say my default solution for this, and the default across my org, is Data Wrangler in VS Code[1]. My only wish list item is if the low code solution wrote polars instead of pandas. Any thoughts on how hard that might be to accomplish? 1: https://marketplace.visualstudio.com/items?itemName=ms-toolsai.datawrangler. - Source: Hacker News / about 16 hours ago
Https://marketplace.visualstudio.com/items?itemName=sorucoder.freebasic There's also an QB64Official/vscode extension that has syntax highlighting and keyboard shortcuts:. - Source: Hacker News / 1 day ago
Tagged template literals can have all of these, some already exist¹ and doesn't need a build step. 1. https://marketplace.visualstudio.com/items?itemName=bierner.lit-html. - Source: Hacker News / 2 days ago
Btw, another extension I'd personally recommend is Region Highlighter by 'Wiensss', which makes regions easier to see in the editor itself by coloring them, and also provides a command for making regions (although it is limited in language support). I don't currently use any other region extensions. Region Highlighter: https://marketplace.visualstudio.com/items?itemName=Wiensss.region-highlighter. - Source: Hacker News / 3 days ago
I start with a TODO.md and a VSCode extension that makes it into a little KanBan. And I treat it more like notes than anything else, until the project gets much further along. https://marketplace.visualstudio.com/items?itemName=coddx.coddx-alpha. - Source: Hacker News / 5 days 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 / 6 days ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 20 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
rubular - A ruby based regular expression editor
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
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
