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 ;)
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
Companion webpage to the book "Mathematics For Machine Learning"
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.