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Based on our record, Scikit-learn should be more popular than Ivory for Mastodon. It has been mentiond 27 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.
> indie-dev-that-does-not-want-to-monetize-friendly Noting is "I need to spend a significunt chunk of my time for no renumeration"-friendly. And yet there are numerous free, or pay-less-than-a-cup-of-coffee clients for many things and services, whether those are open or closed, free or paid (Ivory for Mastodon https://tapbots.com/ivory/ and Wikipedia's app come to mind). Thanks for the tip for Siskin and Monal!... - Source: Hacker News / 5 months ago
You might be interested to know the Tweetbot people made an app for Mastodon: https://tapbots.com/ivory/ https://tapbots.social/@ivory. - Source: Hacker News / 6 months ago
For example, the twitter "equivalent" on the fediverse -- mastodon -- recently got the developer of what was widely considered the best twitter client pivoting their work after Twitter's API changes that spez is emulating (see: Ivory). Source: 11 months ago
For iOS, there's Ivory but it's unfortunately not free. Ivory is the one I'm using and it's pretty good. - Source: dev.to / 11 months ago
I've been very happy with Ivory: https://tapbots.com/ivory/ Every few months I kick a couple bucks to my homeserver (which is currently running a pretty large surplus or I'd do more) and that's the end of it. - Source: Hacker News / 11 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
Whalebird - Whalebird is a Mastodon client for desktop application.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Megalodon - A fork of official Mastodon Android app which include new additional features.
OpenCV - OpenCV is the world's biggest computer vision library
Moshidon - Better modification of the official Mastodon for Android app
NumPy - NumPy is the fundamental package for scientific computing with Python