Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Python Data Science Handbook: full text in Jupyter Notebooks
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 ;)
- bayesian-methods
- pymc
- mathematical-analysis
- jupyter-notebook
Jupyter notebooks for the code samples of the book "Deep Learning with 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.
- deep-learning
- deep-learning-tutorial
- pytorch
- pytorch-tutorial
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
- machine-learning
- deep-learning
- leedl-tutorial
- cnn
Companion webpage to the book "Mathematics For Machine Learning"
PRML algorithms implemented in Python
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.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
open source E-book on statistical physics
- statistical-physics
- statistical-mechanics