OpenEmu Reviews

Scikit-learn Reviews

OpenEmu mentions (91)

• Apple now allows retro game emulators on its App Store

  Tangentially related: if anybody is looking for a good way to organize a library of retro emulators and games on their MacOS laptops/desktop computers then I recommend OpenEmu. It is designed from the ground up to look and feel like a Mac app. https://openemu.org/. - Source: Hacker News / 2 months ago

• How do I play TurboGrafx 16 in 2023?

  The Pocket is a great device, highly recommended, get the Dock if you want to buy one. While waiting, I recommend using https://openemu.org/ on your Mac to run "roms", which are files that represent old games. To get the ROMs, google for "tubrografx roms archive.org". Then for a controller on a Mac, you can use a PS4/PS5 or Xbox (One/Series), if you have one lying around. That said, I recommend buying an SN30 Pro. Source: 12 months ago

• Help PSX / NEOGEO games

  Huh? Try http://openemu.org/ and download the experimental version (with arcade support). Source: 12 months ago

• Lucky Luke Western Fever

  Yeah should be pretty easy if you have the ISO or a disc copy, OpenEmu should do it without issue - https://openemu.org. Source: about 1 year ago

• Desmume emulator not working

  Hey there, for an emulation beginner and macOS user, and as an easy workaround, I'd recommend you use OpenEmu . It's a frontend for multiple Nintendo/Sega/Retro console emulators at once (Nintendo handhelds up to DS, and consoles up to Gamecube), and works completely out of the box with controller support. Best of luck! Source: about 1 year ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 5 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago

• 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 / about 1 year 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: about 1 year 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: about 1 year ago