aguschin

3 ms·

1. 1.▲
   by aguschin 4y ago

   LOL, just was submitting the same link and got here. Was too late to publish first) Anyway, I'm one of the authors - the other one published the blog post on medium. Hope this will give you some Christmas mood :)
2. 2.▲
   Show HN: ML model to tell if you were naughty this year(mlem-nice-or-naughty.fly.dev)

   3 points by aguschin 4y ago|1 comments
3. 3.▲
   by aguschin 4y ago

   Oh, and MLEM can also serialize any Python function. (How could I forget!)
4. 4.▲
   by aguschin 4y ago

   Yep! Machine Learning should be mlemming :)
5. 5.▲
   by aguschin 4y ago

   Thank you! MLEM already supports Scikit-learn, PyTorch, XGBoost, LightGBM and CatBoost now. We're going to add fastai, TensorFlow and Huggingface very soon, and then there are many others we'd like to support! Feel free to post an
6. 6.▲
   by aguschin 4y ago

   Thanks! We're going to add AWS Sagemaker, pure Kubernetes and Seldon-core soon. Feel free to drop an issue in GH if you need something in particular!
7. 7.▲
   by aguschin 4y ago

   Hi! Thanks for the question! There are a few important differences: - MLEM automatically extracts the metadata from the model for you. With MLflow, you need to specify ML framework and environment. - For the Model Registry that you can buil
8. 8.▲
   Show HN: MLEM – ML model deployment tool

   24 points by aguschin 4y ago|11 comments