A research-grade Python package for LFADS-style sequential autoencoder analysis of birdsong syntax and neural dynamics. This package provides comprehensive tools for data generation, model training, ...
This is a Python repository for recovering weights or re-training a multimodal masked autoencoder on anatomical brain MRIs. It naturally handles missing modalities and processes any combination of ...
The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...
Apple has published three interesting studies that offer some insight into how AI can improve workflows, quality, and productivity for developers.
Abstract: Industrial anomaly detection is hindered by data inefficiency and dependence on large-scale training sets. We introduce CLIP-FSQAE, a novel framework for few-shot anomaly detection that ...
Abstract: Partial discharge (PD) diagnosis is critical for ensuring the reliability and safety of high-voltage equipment. However, the scarcity of labeled data, unseen fault classes, and cross-domain ...
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