SDL VS Scikit-learn

SDL Reviews

Scikit-learn Reviews

SDL mentions (18)

• How was Pico8 made?

  In addition to the excellent video /u/DookieChumo linked, you can also look in the manual to see some of the technologies used. It's written in C, using SDL. If you're interested in something like a devlog, you could read the changelog to see its changes and the development of features over the years. Lua is fairly easy to embed into other programs, so you can write programs that use Lua scripts to decide what to... Source: over 1 year ago

• How does one make their own GUI from scratch? (no GUI libraries)

  You could use the cross-platform library SDL. It has Python bindings: PySDL2. Source: over 1 year ago

• I want to become a game dev one day, can you guys help me?

  You can use SDL, which is pretty easy to get into, has straight-forward (if somewhat sparse) documentation and has lots of pretty decent tutorials - see the links on the web site. Source: over 1 year ago

• what #include<iostream> does in C++ Program ?

  Official website is https://libsdl.org where you can read more about download and install this library because it might not work on your computer. Source: over 1 year ago

• which Library is used to Develop 2D Game in C++ ?

  To Develop 2D Game mostly Game Developer Prefers to use SDL Library it is Simple Media Layer originally Written in C Language but compatible with C++ and run Natively. The website of Libsdl is https://libsdl.org. It is free to use. Source: over 1 year ago

Scikit-learn mentions (27)

• Link Prediction With node2vec in Physics Collaboration Network

  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

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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

• Help on using R for Machine Learning?

  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

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  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