Unity Reviews

1. YoUMT

   over 1 year ago
   Good

   This is such a wonderful abd helpful game-making platform,even for the beginners. And i know and I've played in the several games ,for example,which were made so thoroughly and carefully and also simply by using “UNITY” . So the game quality is just a matter of the programmer's skill,i think.

Scikit-learn Reviews

Unity mentions (198)

• Achieving Success in Online Learning: A Practical Guide

  Aside from this, I noticed the 2D game section was written using the Lua programming language, and the 3D game section used the Unity Game engine. Having played around with Lua for a bit, I realised I didn't like using it. There wasn't any rational reason for my dislike. It was mostly vibes but, considering one of my primary goals was entertainment, it was a real issue I had to resolve otherwise I'd likely drop... - Source: dev.to / 11 days ago

• Voronoi, Manhattan, random

  Unity. Can't say much. It's the most popular choice for 2D game development. But somehow, my heart wasn't in writing in C#. Also, for some entirely subjective reason, I had a skeptical attitude towards the engine. - Source: dev.to / about 1 month ago

• My thought on different engines

  Sooo. Unity. It's a 3D game engine created by a company of the same name. It was published in 2005 and is one of the most used game engines in the world due to its simplicity, the number of documents, and the easy way to publish games on all platforms. - Source: dev.to / 6 months ago

• Top 10 Mobile App Development Tools: Building Apps Made Easy

  Unity is a popular game engine and development platform that is widely used for creating games, as well as augmented reality (AR) and virtual reality (VR) applications. It provides a comprehensive set of tools, libraries, and features that enable developers to build interactive and immersive experiences across various platforms. - Source: dev.to / 7 months ago

• Using 3D to make Cut Scenes for your Visual Novels

  Creating 3D Videos: After downloading the desired models, you can import them into 3D software like Unity or Unreal Engine. These platforms allow you to create 3D scenes and animations, which can be exported as video files. Source: 7 months ago

Scikit-learn mentions (28)

• 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 / 12 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: 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

• 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: over 1 year ago