An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.

Fitting GLMMs with various approximations methods

The ultimate resource for transitioning to freelancing for software developers 👩‍💻🇫🇮

A company-mode backend for TabNine, the all-language autocompleter: https://tabnine.com/

Define Stan models using glmer-style (lme4) formulas

Statistical Rethinking course and book package

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

Scikit-learn-compatible datasets

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Projection predictive variable selection

PyTorch - Python + Nim

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Deep universal probabilistic programming with Python and PyTorch

Unifying sparse approximations for Gaussian process regression and classification, using Power EP

Streaming sparse Gaussian process approximations

A modular configuration of Vim and Neovim

Efficiently computes derivatives of NumPy code.

A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)

A flexible framework of neural networks for deep learning

experimental binary net implementation in chainer

mawww's experiment for a better code editor

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Kernel structure discovery research code - likely to be unstable

🌠 Dark powered asynchronous completion framework for neovim/Vim8

Gaussian processes in TensorFlow

A modern LaTeX poster theme

A dialect of Lisp that's embedded in Python

My spacemacs configuration.