Boston, MA

Till Hoffmann

Expert
@tillahoffmann

Advancing scalable inference @harvardchanschool. Formerly @spotify, @imperial.

obsidian-jupyter. TypeScript

452

obsidian-file-include. TypeScript

35

localscope. Restrict the scope of functions for reproducible code execution and peace of mind.

21

wastewater-catchment-areas. 8,185 wastewater catchment areas in Great Britain covering more than 99% of the population.

12

time_series. Model-based time series clustering using variational inference.

12

asymmetric_kde. Density estimation using asymmetric kernels.

11

universal_tensorflow_image. Develop tensorflow models with or without a GPU accelerator using the same Docker image. 🥳

7

shedding. Uncertainties surrounding the concentration of viral RNA fragments in the faeces of individuals infected with SARS-CoV-2 poses a major challenge for wastewater-based surveillance of Covid-19. This repository serves to collate data from quantitative studies on RNA load in faecal samples to constrain the shedding distribution.

6

sphinx-stan. Sphinx domain for Stan, the probabilistic programming language

5

cyfunc. Easy universal functions for numpy in cython.

5

testax. Jit-able runtime assertions for JAX in NumPy style.

4

vscode-snakeviz. TypeScript

3

gptools. Gaussian processes on graphs and lattices in Stan and pytorch.

3

jax-ifnt. Execute runtime assertions, indexing checks, and more if `jax` code is not traced.

3

version-wizard. Python

2

reference-models. Python

2

template. A simple template for reproducible research.

2

bazel-itertools. Functions for efficient looping matching python's itertools.

2

datatrail-python. Makefile

1

common. Python

1

slides. Create stunning presentations using markdown powered by reveal.js.

1

precompiled-cmdstan. Precompiled cmdstan for use in Read the Docs and elsewhere.

1

idxhound. 🐶 Track indices across one or more numpy selections.

1

ai-studio-mcp. Model Context Protocol tools in Google AI Studio.

1

networkdata. Collection of network data.

1

util. Code snippets for statistics and machine learning.

1

python_skeleton. Skeleton for python projects using conda, py.test and TravisCI.

1

cygraph. Cython

1

variational_bayes. Python

1

sphinxcontrib-shtest. Doctests for shell commands.

1
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