Based on our record, itch.io seems to be a lot more popular than Scikit-learn. While we know about 7498 links to itch.io, we've tracked only 29 mentions of Scikit-learn. 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.
Publishing on platforms like itch.io are a great way to get feedback (but see comments about comments earlier!) and to see if an idea is worth pursuing. Self-published mini-games are also a good way to scratch that gamedev itch when it isn't your day job too - I should push a couple myself actually! - Source: dev.to / 3 months ago
This guy might not be farming. I'm not, but I have hundreds of cheap games from early humble bundles, huge itch.io fund raiser bundles, etc. Source: 7 months ago
I just found this game on itch.io and it's SO GOOD! Source: 7 months ago
Combat is as gritty as the GM makes it. Healing is TOUGH out of the box, so by default it is already pretty gritty. In fact, part of the crew premise is players can have a few 'cast of characters' that sub in when a PC is in a rough spot. You as the GM choose what type of physical harm to give out, and how often - so it's pretty controllable. Like I said, look at itch.io for some alternate healing ideas if you... Source: 7 months ago
I have just registered at itch.io and paid $10 for kudos. I don't have a GPU-equipped PC, I am just curious about the Horde system. Downloaded the client to my Windows laptop and ran it to generate a 512x512 picture of Julia fractal (my test prompt) with the Midjourney model, there seemed to be no SDXL models to choose from. It took about a minute to generate. The 2nd generation (with the same prompt), which took... Source: 7 months ago
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 / 23 days ago
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 / 4 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 / about 1 year 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: about 1 year 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: about 1 year ago
GOG.com - DRM-free game store, selling both new and old titles. No clients required.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
OpenGameArt.org - A site dedicated to sharing artwork & other assets for game development.
OpenCV - OpenCV is the world's biggest computer vision library
IsThereAnyDeal - "When the price is right, you will play all night."
NumPy - NumPy is the fundamental package for scientific computing with Python