Goku Mohandas

Made-With-ML. Learn how to 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. 🏃 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.

monitoring-ml. Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.

testing-ml. Learn how to create reliable ML systems by testing code, data and models.

the-neural-perspective. 📓 Notes from The Neural Perspective (discontinued) blog.

casual-digressions. 💤 Old repository of notes on machine learning papers.

attentional-interfaces. 🔍 Attentional interfaces in TensorFlow.

feature-store. Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.

oreilly-pytorch. 🔥 Introductory PyTorch tutorials with OReilly Media.

GokuMohandas.

SELU. 🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.

follow. Jupyter Notebook

jupyter-config. 🌍 Configuration files for Jupyter features.