Software Alternatives, Accelerators & Startups

OGS VS Scikit-learn

Compare OGS VS Scikit-learn and see what are their differences

OGS logo OGS

Play go/weiqi/baduk online

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • OGS Landing page
    Landing page //
    2023-09-03
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

OGS videos

How to use the AI review on OGS?

More videos:

  • Review - OGS AI - Back to Basic Baduk

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to OGS and Scikit-learn)
Games
100 100%
0% 0
Data Science And Machine Learning
Online Games
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare OGS and Scikit-learn

OGS Reviews

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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, OGS should be more popular than Scikit-learn. It has been mentiond 136 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.

OGS mentions (136)

  • After AI beat them, professional Go players got better and more creative
    OGS is the closest thing I’ve found to lichess but it’s quite good! https://online-go.com/. - Source: Hacker News / 2 months ago
  • After AI beat them, professional Go players got better and more creative
    Https://online-go.com/ is the easiest place to get started as a western beginner. The far more active go servers are Asian and have a higher barrier to entry in terms of registration, downloading the client, and dealing with poor localization. (Fox Weiqi, Tygem, etc.). - Source: Hacker News / 2 months ago
  • Awfull experience with learning Go
    That's nuts. I'll be honest online-go.com is my least favorite server to play on. Unfortunately it's one of the only ones that doesn't require software installation so it's easy to recommend to new players. Source: 6 months ago
  • In Two Moves, AlphaGo and Lee Sedol Redefined the Future (2016)
    In 2016, I thought I'd give up on playing Go, seeing that our tree searching overlords beat us in every which way. Funny thing is, I'm playing a game right now [1]. [1] https://online-go.com/. - Source: Hacker News / 7 months ago
  • Gomoku.com / Site
    Hey guys, I own Gomoku.com domain and the site (currently down) very similar to https://online-go.com/ I no longer have the time to maintain or try to grow it, if anyone is interested taking it over let me know! Source: 11 months ago
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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 / 4 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
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What are some alternatives?

When comparing OGS and Scikit-learn, you can also consider the following products

KaTrain - Improve your go by training with KataGo.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Chess.com - Play chess on Chess.

OpenCV - OpenCV is the world's biggest computer vision library

Sabaki - Sabaki is cross-platform graphical UI for Go/Baduk/Weiqi game board and SGF (Smart Go Format) editor. Free, open source, based on Electron.

NumPy - NumPy is the fundamental package for scientific computing with Python