Objectives The length and frequency of previous sickness absence (SA) spells have been shown to be associated with future SA. The aim was to examine if this pattern persisted during the COVID-19 ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
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How to generate random numbers in Python with NumPy
Discover the secrets to generating random numbers in Python using the NumPy library. Unleash the full potential of your code ...
Abstract: This letter considers the problem of data generation for MPC policy approximation. Learning an approximate MPC policy from expert demonstrations requires a large data set consisting of ...
Abstract: Low-rank approximation (LRA) is a powerful technique for seismic diffraction separation and imaging, providing higher-resolution images of subsurface discontinuities compared to traditional ...
This repository contains the implementation of SLiM (Sparse Low-rank Approximation with Quantization), a novel compression technique for large language models (LLMs). SLiM combines a one-shot ...
Code for the paper Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning LoRA-SB is built on top of HuggingFace Transformers and PEFT libraries, ...
Aims To compare the diagnostic performance of 360° anterior segment optical coherence tomography assessment by applying normative percentile cut-offs versus iris trabecular contact (ITC) for detecting ...
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