tillahoffmann
Building network models at @HarvardChanSchool with a focus on open and reproducible science. Formerly @imperial, @spotify.
Harvard T.H. Chan School of Public HealthBoston, MA
Pinned Repositories
shedding-hub
Data and statistical models for biomarker shedding.
asymmetric_kde
Density estimation using asymmetric kernels.
localscope
Restrict the scope of functions for reproducible code execution and peace of mind.
nonpoisson-dynamics
obsidian-file-include
obsidian-jupyter
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.
time_series
wastewater-catchment-areas
7,537 wastewater catchment areas in the Great Britain covering more than 95% of the population.
tillahoffmann's Repositories
tillahoffmann/obsidian-file-include
tillahoffmann/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.
tillahoffmann/wastewater-catchment-areas
7,537 wastewater catchment areas in the Great Britain covering more than 95% of the population.
tillahoffmann/cyfunc
Easy universal functions for numpy in cython.
tillahoffmann/localscope
Restrict the scope of functions for reproducible code execution and peace of mind.
tillahoffmann/testax
Jit-able runtime assertions for JAX in NumPy style.
tillahoffmann/ifnt
Execute runtime assertions, indexing checks, and more if `jax` code is not traced.
tillahoffmann/reference-models
tillahoffmann/vscode-snakeviz
tillahoffmann/alsm
Latent space models for aggregate network data.
tillahoffmann/avb
tillahoffmann/bishop2
tillahoffmann/cmdstanpy
CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.
tillahoffmann/collectiontools
tillahoffmann/datatrail-jhu-python
A bonus course for DataTrail graduates who wish to learn python
tillahoffmann/google-jax-19885
https://github.com/google/jax/issues/19885
tillahoffmann/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tillahoffmann/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.
tillahoffmann/networkx
Official NetworkX source code repository.
tillahoffmann/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
tillahoffmann/numpyro-extensions
tillahoffmann/pyro
Deep universal probabilistic programming with Python and PyTorch
tillahoffmann/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tillahoffmann/scikit-abc
tillahoffmann/scikit-learn
scikit-learn: machine learning in Python
tillahoffmann/snippets
Useful, tested code snippets and command line tools.
tillahoffmann/sphinxcontrib-shtest
Doctests for shell commands.
tillahoffmann/stan-matern-debug
tillahoffmann/tensorflow
Computation using data flow graphs for scalable machine learning
tillahoffmann/tillahoffmann.github.io
http://tillahoffmann.github.io/