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Top 9 Python mlflow Projects
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Hi, we are considering using MLflow for experiment tracking in my company and bunch of us have been looking into this tool and we do like it. There is only one thing I am unsure about and that is experiment grouping or some kind of separating experiments into different folders. I think this FR describes exactly what we would like https://github.com/mlflow/mlflow/issues/4595.
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Project mention: My new company uses Pyspark. I want to learn it before my starting date. Any advice? | reddit.com/r/datascience | 2022-11-10
If they're using databricks and you're familiar with pandas, koalas should be right up your alley .
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Sonar
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lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Project mention: [D] Is Pytorch Lightning + Wandb a good combination for research? | reddit.com/r/MachineLearning | 2023-03-11I can't say for sure whether it is the best combination for research in the long run, but if you do go down that route I have found this template very useful
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MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
You've already mentioned Seldon Core which is well worth looking at but if you're just after the raw multi-model serving aspect rather than a fully-fledged deployment framework you should maybe take a look at the individual inference servers: Triton Inference Server and MLServer both support multi-model serving for a wide variety of frameworks (and custom python models). MLServer might be a better option as it has an MLFlow runtime but only you will be able to decide that. There also might be other inference servers that do MMS that I'm not aware of.
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mnist-mlops-learning
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
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Project mention: [P] Track your ML Projects from Notion! | reddit.com/r/MachineLearning | 2022-06-28
Do you want to compare the loss with hyperparameters? I think we got that working: Demo. Or, did you mean, some plots to visualize the same? Unfortunately, Notion API doesn't support images and hosting it elsewhere would cost $$.
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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mlf-core
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
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MLOps
MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring. (by kuutsav)
Python mlflow related posts
- MLflow experiments grouping/naming conventions
- AWS re:invent 2022 wish list
- My new company uses Pyspark. I want to learn it before my starting date. Any advice?
- [D] Who here are convinced that they have a really good setup that keeps track of their ML experiments?
- How often do you use MLflow for your computer vision models?
- Keeping Your Machine Learning Models on the Right Track: Getting Started with MLflow, Part 2
- [RFP] Product idea for BYOD data science platform
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A note from our sponsor - Sonar
www.sonarsource.com | 20 Mar 2023
Index
What are some of the best open-source mlflow projects in Python? This list will help you:
Project | Stars | |
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1 | MLflow | 13,865 |
2 | koalas | 3,253 |
3 | lightning-hydra-template | 2,417 |
4 | MLServer | 366 |
5 | mnist-mlops-learning | 76 |
6 | domino-research | 74 |
7 | mlsync | 59 |
8 | mlf-core | 36 |
9 | MLOps | 34 |