DepHell
Metaflow
Activeeon
Luigi
Apache Airflow
Mesosphere DCOS
Kazuhm
Terraform
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
ML5.js
Google Cloud Machine Learning
SIMON
TensorFlow
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Based on our record, DepHell should be more popular than Amazon Machine Learning. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I've found https://github.com/dephell/dephell but seems to be outdated. Source: over 1 year ago
I had a few relatively famous projects (like dephell), and at some point I lost my sleep because I was "fixing bugs" in it in my head in the middle of the night. Archiving it, closing issues in everything else, and starting to just write projects for my own fun only was the best decision I ever made. Don't make my mistakes. Don't ask random people on the internet what you should do. Do what you want to do and... Source: almost 2 years ago
You jest and yet... https://github.com/dephell/dephell Dephell is a converter for python packaging systems. It can turn poetry files into requirements.txt, or setuptools' setup.py into pipenv's Pipfile etc. Python Packaging: There is More Than One Way to Do It. - Source: Hacker News / over 2 years ago
Not necessarily. You can use Dephell (https://github.com/dephell/dephell) to convert from poetry to the old-fashioned requirements.txt. Source: about 3 years ago
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago
Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Activeeon - ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.
Lobe - Visual tool for building custom deep learning models
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Apple Machine Learning Journal - A blog written by Apple engineers