Top 3 Python model-management Projects
Open source platform for the machine learning lifecycleProject mention: [D] Tips for ML workflow on raw data | reddit.com/r/MachineLearning | 2022-01-21
:rocket: Build and manage real-life data science projects with ease!
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
The Unified Model Serving Framework 🍱Project mention: How to Build a Machine Learning Demo in 2022 | dev.to | 2022-01-16
Using a general-purpose framework such as FastAPI involves writing a lot of boilerplate code just to get your API endpoint up and running. If deploying a model for a demo is the only thing you are interested in and you do not mind losing some flexibility, you might want to use a specialized serving framework instead. One example is BentoML, which will allow you to get an optimized serving endpoint for your model up and running much faster and with less overhead than a generic web framework. Framework-specific serving solutions such as Tensorflow Serving and TorchServe typically offer optimized performance but can only be used to serve models trained using Tensorflow or PyTorch, respectively.
Python model-management related posts
2 projects | news.ycombinator.com | 23 Jan 2022
Help on understanding mlops tools.
1 project | reddit.com/r/mlops | 6 Oct 2021
A few reasons why internal product management is awesome and not a downgrade
1 project | reddit.com/r/ProductManagement | 23 Aug 2021
Netflix's Metaflow: Reproducible machine learning pipelines
3 projects | news.ycombinator.com | 21 Dec 2020
What are some of the best open-source model-management projects in Python? This list will help you:
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