xgboost_ray VS MLBox

Compare xgboost_ray vs MLBox and see what are their differences.

xgboost_ray

Distributed XGBoost on Ray (by ray-project)
Xgboost Data Science Dask modin Machine Learning Kaggle
Source Code
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MLBox

MLBox is a powerful Automated Machine Learning python library. (by AxeldeRomblay)
Machine Learning auto-ml Kaggle Deep Learning stacking Pipeline Optimization preprocessing Encoding Prediction Distributed Xgboost DrIFT Classification Regression Lightgbm Keras automated-machine-learning Automl Data Science
Source Code
mlbox.readthedocs.io
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xgboost_ray MLBox
1 1
133 1,477
0.8% -
5.8 0.0
2 months ago 9 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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xgboost_ray

Posts with mentions or reviews of xgboost_ray. We have used some of these posts to build our list of alternatives and similar projects.

MLBox

Posts with mentions or reviews of MLBox. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing xgboost_ray and MLBox you can also consider the following projects:

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

AlphaPy - Python AutoML for Trading Systems and Sports Betting

swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

nylon - An intelligent, flexible grammar of machine learning.

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

draf - Demand Response Analysis Framework (DRAF)

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

gmr - Gaussian Mixture Regression

ML.NET-Auto-ML-ESRB-Rating-Classification - Classifying Game ESRB Ratings using ML.NET Auto ML

deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

xgboost_ray vs mljar-supervised MLBox vs lazypredict xgboost_ray vs d2l-en MLBox vs AlphaPy xgboost_ray vs swifter MLBox vs nylon xgboost_ray vs mars MLBox vs draf xgboost_ray vs data-science-ipython-notebooks MLBox vs gmr MLBox vs ML.NET-Auto-ML-ESRB-Rating-Classification MLBox vs deep-kernel-transfer