Code and documentation to train Stanford's Alpaca models, and generate the data. - tatsu-lab/stanford_alpaca ...

The advent of optical fiber-based biosensors combined with that of nanotechnologies has provided an opportunity for developing in situ, portable, lightweight, versatile, and high-performance optical ...

Weakly-supervised semantic segmentation (WSSS) aims to train a semantic segmentation network using weak labels. Recent approaches generate the pseudo-label from the image-level label and then exploit ...

The increase in self-supervised learning (SSL), especially contrastive learning, has enabled one to train deep neural network models with unlabeled data for remote sensing image (RSI) scene ...

Biomolecular detection and imaging methods provide quantitative measurements essential for biological research. In this context, molecular beacon based sensors have emerged as powerful, no-wash ...

Versioning For transparency into our release cycle and in striving to maintain backward compatibility, CoreUI Free Admin Template is maintained under the Semantic Versioning guidelines. See the ...