Courses & Tutorials
Collection of courses
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Full Stack Deep Learning
Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world.
production full-stack deep-learning course
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
Neural Networks for NLP (CMU CS 11-747)
This class will start with a brief overview of neural networks, then spend the majority of the class demonstrating how to apply neural networks to ...
natural-language-processing course carnegie-mellon neural-networks
Simple Transformers: Transformers Made Easy
Simple Transformers removes complexity and lets you get down to what matters – model training and experimenting with the Transformer model architectures.
transformers huggingface simple-transformers text-classification
Computational Linear Algebra for Coders
Free online textbook of Jupyter notebooks for Computational Linear Algebra course.
linear-algebra course top-down machine-learning
Tensor functions for Pytorch's Autograd
A blog and notebook to understand the Pytorch's autograd.
pytorch tensors autograd tutorial
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Data scientist/software engineer, machine learning practitioner
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