mljet VS SciKit-Learn Laboratory

Compare mljet vs SciKit-Learn Laboratory and see what are their differences.

mljet

Minimalistic ML-models auto deployment tool (by qnbhd)
Machine Learning Deploy ML Mlops Python
Source Code
Docs
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SciKit-Learn Laboratory

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. (by EducationalTestingService)
Machine Learning Python scikit-learn HacktoberFest
Source Code
skll.readthedocs.org
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mljet SciKit-Learn Laboratory
- -
68 550
- -0.2%
1.0 8.7
19 days ago 2 months ago
Python Python
MIT License BSD 1-Clause License
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.

mljet

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

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

SciKit-Learn Laboratory

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

We haven't tracked posts mentioning SciKit-Learn Laboratory yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing mljet and SciKit-Learn Laboratory you can also consider the following projects:

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

MindsDB - The platform for customizing AI from enterprise data

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Metrics - Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Keras - Deep Learning for humans

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Pylearn2 - Warning: This project does not have any current developer. See bellow.

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

tensorflow - An Open Source Machine Learning Framework for Everyone

python-recsys - A python library for implementing a recommender system

scikit-learn - scikit-learn: machine learning in Python

mljet vs Sacred SciKit-Learn Laboratory vs Prophet mljet vs MindsDB SciKit-Learn Laboratory vs seqeval mljet vs Metrics SciKit-Learn Laboratory vs Keras mljet vs H2O SciKit-Learn Laboratory vs Pylearn2 mljet vs bodywork SciKit-Learn Laboratory vs tensorflow mljet vs python-recsys SciKit-Learn Laboratory vs scikit-learn