Ko-fi VS NumPy
Compare Ko-fi VS NumPy and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Ko-fi
Buy Me A Coffee
Patreon
Liberapay
Gumroad
OnlyFans
Open Collective
Kickstarter
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
NumPy might be a bit more popular than Ko-fi. We know about 112 links to it since March 2021 and only 91 links to Ko-fi. 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.
Doing necessary work. How can I sponsor or otherwise provide fiat for this work? https://buymeacoffee.com/, etc. - Source: Hacker News / 2 months ago
A few alternatives for micro donations that people have mentioned: https://ko-fi.com/ https://github.com/sponsors https://www.buymeacoffee.com/ Any others, let me know. - Source: Hacker News / 6 months ago
I still have to try https://ci-en.net/, https://slushe.com/, https://ko-fi.com/, https://catbox.moe/, I heard they were possible good alternatives. But I couldn't say, dunno yet. Source: 7 months ago
I did, however, remember another crowdfunding platform that may be the best of both worlds here (second highest voted so far being Patreon). Ko-fi: it offers both monthly and one-time donations as well as a store where we could sell things like early access keys or things like that. Their fees are very low as well, capping out at 5%. Source: 7 months ago
With everything going on with Patreon lately that's probably why I've suddenly started hearing about Ko-fi this year. Source: 7 months ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 20 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 21 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 26 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 28 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Buy Me A Coffee - A free, fast and friendly way to accept donations 💰
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Patreon - Patreon enables fans to give ongoing support to their favorite creators.
OpenCV - OpenCV is the world's biggest computer vision library
Liberapay - Liberapay is a recurrent donations platform.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.