Precise motion control often requires more than tracking position within a single rotation. Multi-turn encoders provide extended position feedback by counting complete revolutions in addition to ...
BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...
Abstract: Creating concise and preceptive video summaries has become more important due to the rapid expansion of digital video content. Long-range temporal dependencies are difficult for traditional ...
Abstract: This paper describes the development, modeling and simulation of a quadruped robot, with an emphasis on generating stable walking patterns through kinematic control and dynamic analysis. The ...
An encoder-decoder model built with only PyTorch (aside from the tokenizer). This project is a close replica of the original transformer from here. Apart from LayerNorm coming before the attention ...
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