Software Engineering for Machine Learning
84 items from se-ml/awesome-seml ★1,373
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Neptune neptune.ai
A lightweight ML experiment tracking, results visualization, and management tool.
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Git Large File System (LFS) git-lfs.github.com
Replaces large files such as datasets with text pointers inside Git.
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MLFlow mlflow.org
Manage the ML lifecycle, including experimentation, deployment, and a central model registry.
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Spark Machine Learning spark.apache.org
Spark’s ML library consisting of common learning algorithms and utilities.
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Software development best practices in a deep learning environment towardsdatascience.com
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ML Ops: Machine Learning as an engineered disciplined towardsdatascience.com
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Tensorflow Extended (TFX) tensorflow.org
An end-to-end platform for deploying production ML pipelines.
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Data management challenges in production machine learning static.googleusercontent.com
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Fairness On The Ground: Applying Algorithmic FairnessApproaches To Production Systems scontent-amt2-1.xx.fbcdn.net
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Best Practices for Machine Learning Applications pdfs.semanticscholar.org
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Facets Overview / Facets Dive pair-code.github.io
Robust visualizations to aid in understanding machine learning datasets.
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OpenML openml.org
An inclusive movement to build an open, organized, online ecosystem for machine learning.
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10 Best Practices for Deep Learning nanonets.com
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