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