IEEE

Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM

Abstract: The billion-scale Large Language Models (LLMs) necessitate deployment on expensive server-grade GPUs with large-storage HBMs and abundant computation capability. As LLM-assisted services ...
GitHub

Causal Inference and Discovery in Python

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...
eLife

Exploiting fluctuations in gene expression to detect causal interactions between genes

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.
GitHub

CausalInferenceLab/awesome-causal-inference-python

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IEEE

Interventional and Counterfactual Inference with Autoregressive Flow Models

Abstract: Causal inference plays a crucial role in data science applications. To address the issue of estimating the distributions of observational, interventional, and counterfactual data. We present ...