J S's repositories

Turing.jl

Bayesian inference with probabilistic programming.

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DataFramesMeta.jl

Metaprogramming tools for DataFrames

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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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EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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knitr_case_studies

Inference case studies in knitr

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flux-vae

Implementation of a Convolutional Variational Autoencoder in Flux.jl

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