Stars
Bayesian Data Analysis course at Aalto
A concise grammar of interactive graphics, built on Vega.
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome Machine Learning frameworks, libraries and software.
Perform data science on data that remains in someone else's server
Magenta: Music and Art Generation with Machine Intelligence
Reproducing images with geometric primitives.
Free resources for learning Full Stack Web Development
An annotated implementation of the Transformer paper.
The most cited deep learning papers
An open-source interpreter for the K5 programming language.
Visualizations for machine learning datasets
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
A collection of infrastructure and tools for research in neural network interpretability.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program