Abstract: Power quality issues are required to be addressed properly in forthcoming era of smart meters, smart grids and increase in renewable energy integration. In this paper, Deep Auto-encoder (DAE ...

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...

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Welcome to this comprehensive guide on creating a small language model (LLM) using Python. In this tutorial, we will walk through the entire process step-by-step, explaining each concept along the way ...

This study proposes a deep convolutional neural network (DCNN) classification for the quality control and validation of breast positioning criteria in mammography. A total of 1631 mediolateral oblique ...

fastText is a library for efficient learning of word representations and sentence classification. We are continuously building and testing our library, CLI and Python bindings under various docker ...

Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or more classes. Here we ...

Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As ...

Malware threat the security of computers and Internet. Among the diversity of malware, we have “ransomware”. Its main objective is to prevent and block access to user data and computers in exchange ...

ALBERT is a streamlined version of BERT, significantly reducing its size while preserving performance. The architecture of ALBERT utilises innovative techniques to decrease parameters by up to 90%.