AutoMLPipeline.jl VS seq-pipeline

Compare AutoMLPipeline.jl vs seq-pipeline and see what are their differences.

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AutoMLPipeline.jl seq-pipeline
1 1
350 10
1.4% -
5.5 4.6
5 days ago 9 months ago
HTML PHP
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.

AutoMLPipeline.jl

Posts with mentions or reviews of AutoMLPipeline.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-11.

seq-pipeline

Posts with mentions or reviews of seq-pipeline. We have used some of these posts to build our list of alternatives and similar projects.
  • Data science workspace I have always dreamed about...
    1 project | /r/datascience | 1 Nov 2022
    I have created a workspace for my data science projects and NGS pipelines. Contains RStudio, Jupyter Notebook, VSCode, and a file manager. It can use docker in docker and singularity and connect to the Tailscale network to bypass firewalls, thus allowing it to work from anywhere. I feel happy to share it if someone wants to use it - https://github.com/kstawiski/seq-pipeline

What are some alternatives?

When comparing AutoMLPipeline.jl and seq-pipeline you can also consider the following projects:

MLJ.jl - A Julia machine learning framework

coolify - An open-source & self-hostable Heroku / Netlify / Vercel alternative.

Pkg.jl - Pkg - Package manager for the Julia programming language

SmartPipeline - A framework for rapid development of robust data pipelines following a simple design pattern

unity-ml-agents-turret-defense - A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot.

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

GCP-DevOpsPipelineContinuousIntegration-Deployment - Build a continuous integration pipeline using Cloud Source Repositories, Cloud Build, build triggers, and Container Registry. Deploy applications to the Google Cloud services App Engine, Kubernetes Engine, and Cloud Run.