Machine learning
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Machine Learning Basics
A practical set of notebooks on machine learning basics, implemented in both TF2.0 + Keras and PyTorch.
deep-learning natural-language-processing tensorflow pytorch
ML in Production - Deployment Series
A multi-part blog series on deploying machine learning models in an automated, reproducible, and auditable manner.
production guide article tutorial
Putting ML in Production
A guide and case study on MLOps for software engineers, data scientists and product managers.
production mlops course tutorial
MLOps Tutorial Series
How to create an automatic model training & testing setup using GitHub Actions and Continuous Machine Learning (CML).
ci-cd ml-ops production github-actions
Creating an End-to-End Machine Learning Application
A complete, end-to-end ML application, implemented in both TensorFlow 2.0 and PyTorch.
api tensorflow python production
Two Minute Papers
Awesome research for everyone - two new science videos every week.
podcast papers video tutorial
A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch.
automl tabular pytorch tabular-data
An ergonomic machine learning API designed for non-technical users.
automl libra machine-learning code
Self Supervised Learning Fastai Extension
Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.
self-supervised-learning pytorch fastai callbacks
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