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ELF VS CatBoost

Compare ELF VS CatBoost and see what are their differences

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ELF logo ELF

ELF: An Extensive, Lightweight and Flexible Platform for Game Research

CatBoost logo CatBoost

CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost
  • ELF Landing page
    Landing page //
    2023-07-23
  • CatBoost Landing page
    Landing page //
    2021-10-16

ELF videos

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CatBoost videos

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[Paper Review]Catboost: Unbiased Boosting with Categorical Features

More videos:

  • Review - 04-9: Ensemble Learning - CatBoost (앙상블 기법 - CatBoost)
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Category Popularity

0-100% (relative to ELF and CatBoost)

ELF

CatBoost

Data Science And Machine Learning
40 40%
Data Science And Machine Learning
60% 60
AI
100 100%
AI
0% 0
Data Science Tools
28 28%
Data Science Tools
72% 72
Machine Learning
35 35%
Machine Learning
65% 65

User comments

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Social recommendations and mentions

Based on our record, CatBoost seems to be more popular. It has been mentiond 4 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.

ELF mentions (0)

We have not tracked any mentions of ELF yet. Tracking of ELF recommendations started around Mar 2021.

CatBoost mentions (4)

  • What's New with AWS: Amazon SageMaker built-in algorithms now provides four new Tabular Data Modeling Algorithms
    CatBoost is another popular and high-performance open-source implementation of the Gradient Boosting Decision Tree (GBDT). To learn how to use this algorithm, please see example notebooks for Classification and Regression. - Source: dev.to / almost 2 years ago
  • Writing the fastest GBDT libary in Rust
    Here are our benchmarks on training time comparing Tangram's Gradient Boosted Decision Tree Library to LightGBM, XGBoost, CatBoost, and sklearn. - Source: dev.to / over 2 years ago
  • Data Science toolset summary from 2021
    Catboost - CatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which attempts to solve for Categorical features using a permutation driven alternative compared to the classical algorithm. Link - https://catboost.ai/. - Source: dev.to / over 2 years ago
  • CatBoost Quickstart — ML Classification
    CatBoost is an open source algorithm based on gradient boosted decision trees. It supports numerical, categorical and text features. Check out the docs. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing ELF and CatBoost, you can also consider the following products

OpenAI Universe - Platform for measuring and training AI agents

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

SerpentAI - Game Agent Framework. Helping you create AIs / Bots to play any game you own!

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

PyCaret - open source, low-code machine learning library in Python

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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