Based on our record, OpenCV should be more popular than F#. 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.
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 / about 12 hours ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 14 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 / 7 months ago
It's an open-source project with its own F# Software Foundation. If Microsoft drops it, I think it would continue. https://fsharp.org/. - Source: Hacker News / 6 months ago
Before Rich made Clojure for the JVM, he wrote dotLisp[1] for the CLR. Not long after Clojure was JVM hosted, it was also CLR hosted[2]. One of my first experiences with ML was F#[3], a ML variant that targets the CLR. These all predate the MIT licensed .net, but prior to that there was mono, which was also MIT licensed. 1: https://dotlisp.sourceforge.net/dotlisp.htm 2: https://github.com/clojure/clojure-clr. - Source: Hacker News / 8 months ago
Oh yeah. A key hindrance of F# is that MS treats it like a side project even though it's probably their secret weapon, and a lot of the adopters are dotnet coders who already know the basics so the on-boarding is less than ideal. https://fsharp.org/ is the best place to actually start. https://fsharpforfunandprofit.com/ is the standard recommendation from there but there's finally some good youtube and other... - Source: Hacker News / over 1 year ago
Naturally I’d recommend using a better language such as ReScript or Elm or PureScript or F#‘s Fable + Elmish, but “React” is the king right now and people perceive TypeScript as “less risky” for jobs/hiring, so here we are. - Source: dev.to / over 1 year ago
Are you really a bot? Yes, I'm a small F# program that glues together the public API's provided by Reddit and OpenAI. I was created by /u/brianberns. You can find my source code here. Source: about 2 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
NumPy - NumPy is the fundamental package for scientific computing with Python
Clojure - Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.