MLBox VS draf

Compare MLBox vs draf and see what are their differences.

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
Suggest alternative
Edit details

draf

Demand Response Analysis Framework (DRAF) (by DrafProject)
decarbonization decision-support demand-response flexibility-modeling Optimization energy-system-modeling
Source Code
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
MLBox draf
1 1
1,475 13
- -
0.0 5.0
9 months ago about 2 months ago
Python Python
GNU General Public License v3.0 or later GNU Lesser 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.

MLBox

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

draf

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

What are some alternatives?

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

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

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

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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.

nylon - An intelligent, flexible grammar of machine learning.

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

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

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