Goku Mohandas's repositories
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
fast-weights
π Implementation of Using Fast Weights to Attend to the Recent Past.
data-engineering
Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
the-neural-perspective
π Notes from The Neural Perspective (discontinued) blog.
testing-ml
Learn how to create reliable ML systems by testing code, data and models.
casual-digressions
π€ Old repository of notes on machine learning papers.
monitoring-ml
Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
attentional-interfaces
π Attentional interfaces in TensorFlow.
oreilly-pytorch
π₯ Introductory PyTorch tutorials with OReilly Media.
feature-store
Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
jupyter-config
π Configuration files for Jupyter features.