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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

ad-handbook

Automatic Differentiation Handbook

adamhaber.github.io

aoc-2021

benchmark_stan_arm

blog

cv

My CV built using RMarkdown and the pagedown package.

daleian_networks

docs

Online documentation for Stan language and platform

ergm_for_connectomics

ergmjl

example-models

Example models for Stan

fastpages-blog

jax

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

jaxent

Jax-based MaxEnt

math

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

nbdev

Create delightful python projects using Jupyter Notebooks

netcomp

Comparative metrics for dynamic networks in Python

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/CPU.

oss-fuzz

OSS-Fuzz - continuous fuzzing of open source software.

pybrms

Pythonic interface to R's brms

sicm

Exercises and notes on Structure and Interpretation of Classical Mechanics.

sicmutils

Scmutils in Clojure

snn-sound-localization

Training spiking neural networks for sound localization

stan2tfp

stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and functions to compile a Stan program and fit the model to data using TFP.

stanc3

Rewriting the Stan compiler in OCaml

tikzamples

Some examples for latex tikz/pgf

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.