Abstract: Vector operations such as GELU, softmax, and layer normalization are essential for transformers, but generally consume long latency on general-purpose CPU and GPU due to their low arithmetic ...

Learn machine learning from the ground up - using Python and a handful of fundamental tools. This repository contains a range of resources associated with the 2nd edition of the university textbook ...

QuadPipe is an open-source, high-throughput Softmax hardware accelerator designed for FPGA-based large language model (LLM) inference. Implemented in SpinalHDL, it delivers 4 FP32 results per cycle ...

Abstract: In deep face recognition, the commonly used softmax loss and its newly proposed variations are not yet sufficiently effective to handle the class imbalance and softmax saturation issues ...

Department of Chemistry, New York University, New York, New York 10003, United States Department of Chemistry, New York University, New York, New York 10003, United States Simons Center for ...

Since the rise of the COVID-19 pandemic, peer-reviewed biomedical repositories have experienced a surge in chemical and disease related queries. These queries have a wide variety of naming conventions ...

Transformers have become the default choice of neural architecture for many machine learning applications. Their success across multiple domains such as language, vision, and speech raises the ...