ritchie46
Follow
Stars
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 ;)
A game theoretic approach to explain the output of any machine learning model.
The Udacity open source self-driving car project
Probabilistic reasoning and statistical analysis in TensorFlow
A Haskell kernel for the Jupyter project.
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Supporting code for short YouTube series Neural Networks Demystified.
(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
A repository of Pyomo examples.
This is ongoing work developing quick reference sheets for IPython
Understanding normalizing flows
vanilla machine learning
notebooks used to analysis projects
A colourful collection of codes and notebooks, like Planet Sakaar
Comparing Polars to Pandas and a small introduction
Chinese translation of the polars-book user guide
Material (notebooks and data) for the hands-on workshop "Polars: The Turbo Boost for Dataframes" at data2day 2023 by BettercallPaul.
Source code for dutchfirecalc.nl
Deep learning music classification
Repository that holds the binder configuration for the VibraCore API teaser.