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A case for declarative configurations for ML training

May 17th, 2020 - ZenML Team - 5 mins read

Using config files to specify infrastructure for training isn't widely practiced in the machine learning community, but it helps a lot with reproducibility.

Predicting the winner of a DotA 2 match using distributed deep learning pipelines

May 7th, 2020 - Baris Can Durak - 12 mins read

ZenML makes it easy to setup training pipelines that give you all the benefits of cached steps.

Deep Learning on 33,000,000 data points using a few lines of YAML

May 4th, 2020 - Hamza Tahir - 11 mins read

Use YAML files to help configure pipelines that can run complex deep learning training.

Why deep learning development in production is (still) broken

May 1st, 2020 - Hamza Tahir - 3 mins read

Software engineering best practices have not been brought into the machine learning space, with the side-effect that there is a great deal of technical debt in these code bases.

Distributed PCA using TFX

February 27, 2020 - Hamza Tahir - Crossposted on Tensorflow Blog - 5 mins read

We use PCA to reduce the dimension of input vectors while retaining maximal variance.