Till Hoffmann (tillahoffmann)

tillahoffmann

Geek Repo

Company:Harvard T.H. Chan School of Public Health

Location:Boston, MA

Home Page:http://tillahoffmann.github.io/

Twitter:@tillahoffmann

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Till Hoffmann's repositories

cyfunc

Easy universal functions for numpy in cython.

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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.

localscope

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

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testax

Jit-able runtime assertions for JAX in NumPy style.

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ifnt

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

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alsm

Latent space models for aggregate network data.

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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.

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datatrail-jhu-python

A bonus course for DataTrail graduates who wish to learn python

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google-jax-19885

https://github.com/google/jax/issues/19885

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jax

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

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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.

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mininf

mininf is a minimal library to infer the parameters of probabilistic programs and make predictions.

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networkx

Official NetworkX source code repository.

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numpyro

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

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openformat

Openformat: making data usable.

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pyro

Deep universal probabilistic programming with Python and PyTorch

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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scikit-learn

scikit-learn: machine learning in Python

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snippets

Useful, tested code snippets and command line tools.

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sphinxcontrib-shtest

Doctests for shell commands.

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tensorflow

Computation using data flow graphs for scalable machine learning

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tillahoffmann.github.io

http://tillahoffmann.github.io/

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