OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Productivity Power Tools
rubular
RegExr
RegexPlanet Ruby
RegEx Generator
Expresso
Serendipity
Reggy
OpenCV Productivity Power ToolsBased on our record, Productivity Power Tools should be more popular than OpenCV. It has been mentiond 476 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.
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 / 17 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
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 / about 7 hours 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 / 2 days ago
> it's a widely-used term/practice in tech writing But it's not. You have got the key phrase wrong! It's Docs as Code. There are whole websites devoted to it: https://docsascode.org/ Not "like": As -- meaning, "create docs as you create code", meaning "using the same tools and methods." There is a good strong evidence that your version is inferior: the dozens of comments in this thread by... - Source: Hacker News / 11 days ago
I installed it in VSCode and removed Mypy, I haven't looked back: https://marketplace.visualstudio.com/items/?itemName=astral-sh.ty. - Source: Hacker News / 9 days ago
Having experience with digitizing a university textbook in physics by hand, this is a very nice LaTeX guide for everyone interested. One thing worth noting from 2025 perspective that the "default" local setup is most likely going to be VSCode with LaTeX Workshop[1] and LTeX+[2] extensions, and that you should use TeX Live on every platform supported by it (since MiKTeX and friends can lag). [1]... - Source: Hacker News / 12 days ago
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.
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
NumPy - NumPy is the fundamental package for scientific computing with Python
RegexPlanet Ruby - RegexPlanet offers a free-to-use Regular Expression Test Page to help you check RegEx in Ruby free-of-cost.
