A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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Updated
Jun 2, 2024
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines
A curated list of articles that cover the software engineering best practices for building machine learning applications.
An open-source ML pipeline development platform
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
A Collection of GitHub Actions That Facilitate MLOps
Fire up your models with the flame 🔥
A pipeline to CI/CD of a machine learning model on Google Cloud Run
Designing IT and ML Applications using Systems Thinking Approach at IIT Bhilai (CS559)
A ready to use architecture for processing data and performing machine learning in Azure
Raccogliamo qui tutti i link alle risorse menzionate durante i nostri QShare
Efficient streaming data ingestion, transformation & activation
Repo for running Whylogs as part of a CI workflow using github actions.
Data Science Experiments Repository of Ideas2IT
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
interactive coding environment for microservices demo
Find the samples, in the test data, on which your (generative) model makes mistakes.
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