mars VS dmatrix2np

Compare mars vs dmatrix2np and see what are their differences.

mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions. (by mars-project)
Python Numpy Tensor Pandas Machine Learning scikit-learn Tensorflow Pytorch Xgboost Lightgbm Ray Statsmodels joblib Dataframe Dask
Source Code
mars-project.readthedocs.io
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dmatrix2np

Convert XGBoost's DMatrix format to np.array (by aporia-ai)
Xgboost Machine Learning Numpy
Source Code
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mars dmatrix2np
- 2
2,675 17
0.2% -
5.7 0.0
4 months ago over 2 years ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

mars

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

We haven't tracked posts mentioning mars yet.
Tracking mentions began in Dec 2020.

dmatrix2np

Posts with mentions or reviews of dmatrix2np. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing mars and dmatrix2np you can also consider the following projects:

modin - Modin: Scale your Pandas workflows by changing a single line of code

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

neptune-client - 📘 The MLOps stack component for experiment tracking

xarray - N-D labeled arrays and datasets in Python

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

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

scikit-survival - Survival analysis built on top of scikit-learn

alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale - This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"

xgboost_ray - Distributed XGBoost on Ray

mars vs modin dmatrix2np vs m2cgen mars vs eland dmatrix2np vs neptune-client mars vs xarray dmatrix2np vs Hyperactive mars vs Python-Schema-Matching dmatrix2np vs mljar-supervised mars vs scikit-survival mars vs alpha-zero-boosted mars vs Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale mars vs xgboost_ray