nuclio
awesome-production-machine-learning
nuclio | awesome-production-machine-learning | |
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4 | 9 | |
5,159 | 16,020 | |
0.6% | 1.6% | |
9.4 | 7.5 | |
1 day ago | 3 days ago | |
Go | ||
Apache License 2.0 | MIT License |
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nuclio
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
For the efficiency of "serverless" functions, I would consider Nuclio as a viable option to rely on.
- Deploying Python Script as ML Service
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Appwrite, the open-source Firebase alternative releases v0.13
Does Appwrite offer any benefits over Nuclio?
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Azure function alternative
And surfing the web i've found this: https://github.com/nuclio/nuclio
awesome-production-machine-learning
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
There is a cool, gigantic list for MLOps that I can recommend: https://github.com/EthicalML/awesome-production-machine-learning
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How much of a full DS project pipeline can I do for free?
There are a lot of frameworks and specific tools out there that try to make production ML projects viable; from specific like Airflow (orchestrating jobs) and MLflow (experiment tracking) to more complex ones like Kubeflow. You can have a grasp here.
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Sqldiff: SQLite Database Difference Utility
https://github.com/EthicalML/awesome-production-machine-lear...
- [D] What are the best resources to crack M L system design interviews?
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I'm looking for a tool that let's you visualize the models architecture like this. Any idea what it is called?
https://github.com/EthicalML/awesome-production-machine-learning I think you will find most of the tools to visualize the model on this link.
- Awesome production machine learning - curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning [free] [website] [@all]
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Crucial differences in MLOps for deep learning
2/ https://github.com/EthicalML/awesome-production-machine-learning
What are some alternatives?
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
shap - A game theoretic approach to explain the output of any machine learning model.
faasd - A lightweight & portable faas engine
awesome-jax - JAX - A curated list of resources https://github.com/google/jax
fission - Fast and Simple Serverless Functions for Kubernetes
netron - Visualizer for neural network, deep learning and machine learning models
fn - The container native, cloud agnostic serverless platform.
awesome-mlops - :sunglasses: A curated list of awesome MLOps tools
kompose - Convert Compose to Kubernetes
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
faas-netes - Serverless Functions For Kubernetes
datascience - Curated list of Python resources for data science.