draf VS MLBox

Compare draf vs MLBox and see what are their differences.

draf

Demand Response Analysis Framework (DRAF) (by DrafProject)
decarbonization decision-support demand-response flexibility-modeling Optimization energy-system-modeling
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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draf MLBox
1 1
12 1,477
- -
5.0 0.0
2 months ago 10 months ago
Python Python
GNU Lesser General Public License v3.0 only GNU General Public License v3.0 or later
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.

draf

Posts with mentions or reviews of draf. 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 draf and MLBox you can also consider the following projects:

pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.

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

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

AlphaPy - Python AutoML for Trading Systems and Sports Betting

BayesianOptimization - A Python implementation of global optimization with gaussian processes.

nylon - An intelligent, flexible grammar of machine learning.

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)

Genome - Genome Network Ala Neural Network

draf vs pyomo MLBox vs lazypredict draf vs Ray MLBox vs AlphaPy draf vs BayesianOptimization MLBox vs nylon MLBox vs gmr MLBox vs ML.NET-Auto-ML-ESRB-Rating-Classification MLBox vs deep-kernel-transfer MLBox vs Genome