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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 ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Neural Networks: Zero to Hero
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
this repository accompanies the book "Grokking Deep Learning"
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Notebooks and various random fun
Quantified Self Personal Data Aggregator and Data Analysis
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Notebook to download machine learning flashcards
Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
Code I wrote for my AI & LLM workshops
Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks
Machine Learning for Alignment Bootcamp
Karpathy's Neural Networks - Zero To Hero exercises
sirupsen / VectorHub
Forked from superlinked/VectorHubVectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
A fun interactive map made in Python visualizing the edible plants I find around town and campus