GitHub

Sparsity-aware deep learning inference runtime for CPUs

We’re reaching out with heartfelt thanks and important news. Following Neural Magic’s acquisition by Red Hat in January 2025, we’ve shifted our focus to commercial and open-source offerings built ...
GitHub

azcausal: Causal Inference in Python

Currently, azcausal provides two well-known and widely used causal inference methods: Difference-in-Difference (DID) and Synthetic Difference-in-Difference (SDID ...

Science Keeps Changing. So Why Should We Trust It?

As popular mistrust of expert opinion grows, we increasingly encounter the following skeptical argument about science: ...
IEEE

Cross-Domain Joint Dictionary Learning for ECG Inference From PPG

Abstract: The inverse problem of inferring clinical gold-standard electrocardiogram (ECG) from photoplethysmogram (PPG) that can be measured by affordable wearable Internet of Healthcare Things (IoHT) ...
IEEE

Hybrid Models and Causal Inference Techniques for Optimizing Climate Science: A Comprehensive Review

Abstract: Climate change presents a complex global challenge, demanding models that not only deliver accurate forecasts but also unpack the causal mechanisms behind observed phenomena. This paper ...