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Found 2 papers, 1 papers with code
H2O-Danube-1.8B Technical Report
We present H2O-Danube, a series of small 1. 8B language models consisting of H2O-Danube-1. 8B, trained on 1T tokens, and the incremental improved H2O-Danube2-1. 8B trained on an additional 2T tokens.
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
Seismic image analysis plays a crucial role in a wide range of industrial applications and has been receiving significant attention.
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