submarine VS Hello-Kaggle

Compare submarine vs Hello-Kaggle and see what are their differences.

submarine

Submarine is Cloud Native Machine Learning Platform. (by apache)
Machine Learning Deep Learning AI Notebook Kubernetes Docker
Source Code
submarine.apache.org
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Hello-Kaggle

For someone who is new at Kaggle (by stevekwon211)
Kaggle kaggle-guide Guide Beginner kaggle-beginner kaggle-competition kaggle-dataset-api kaggle-progression kaggler competitions-notebooks Machine Learning Machine Deep Learning AI Dataset Notebook jupyter-notebook Jupyter Data Science Data
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submarine Hello-Kaggle
1 4
688 78
0.1% -
6.4 3.8
about 1 month ago over 3 years ago
Java
Apache License 2.0 MIT 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.

submarine

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

Hello-Kaggle

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

What are some alternatives?

When comparing submarine and Hello-Kaggle you can also consider the following projects:

serve - Serve, optimize and scale PyTorch models in production

machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

nifi-djl-processor - Apache NiFi 1.10 DJL

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.

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

lemon-dataset - Lemons quality control dataset

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

apple-appstore-apps - Apple AppStore Apps dataset. (1.2 million App Data) and 21 attributes

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

datasets-for-good - List of datasets to apply stats/machine learning/technology to the world of social good.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

submarine vs serve Hello-Kaggle vs machine-learning-roadmap submarine vs nifi-djl-processor Hello-Kaggle vs d2l-en submarine vs One-Piece-Image-Classifier Hello-Kaggle vs lemon-dataset submarine vs BentoML Hello-Kaggle vs apple-appstore-apps submarine vs Deep Java Library (DJL) Hello-Kaggle vs datasets-for-good submarine vs polyaxon Hello-Kaggle vs ydata-profiling