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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
This is a repo with links to everything you'd ever want to learn about data engineering
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A guidance language for controlling large language models.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Automatic extraction of relevant features from time series:
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Probabilistic reasoning and statistical analysis in TensorFlow
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Making Protein folding accessible to all!
A site that displays up to date COVID-19 stats, powered by fastpages.
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Pytorch Geometric Tutorials
Pytorch implementation of GRU-ODE-Bayes
Jupyter Notebooks used on my DataScience projects