Project bookmark for learning
Machine Learning Basics
A practical set of notebooks on machine learning basics, implemented in both TF2.0 + Keras and PyTorch.
ML in Production - Deployment Series
A multi-part blog series on deploying machine learning models in an automated, reproducible, and auditable manner.
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.
The Transformer … “Explained”?
An intuitive explanation of the Transformer by motivating it through the lens of CNNs, RNNs, etc.
NumPy Fundamentals for Data Science and Machine Learning
In-depth interactive tutorial of NumPy fundamentals for data science & machine learning. From the ndarray object to applied linear algebra. Project is 70% ...
Interpretability and Analysis of Models for NLP
An in-depth look at interpretability and analysis of models for NLP (ACL 2020).
Some State-of-the-Art few shot learning algorithms in tensorflow 2.
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