LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Multiple arrests following 'disorder and violence' after ...

This repository contains source code for GLASS implemented with PyTorch. GLASS is a unified framework designed to enhance unsupervised anomaly detection by addressing the limitations in coverage and ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...

Abstract: Caching integrated with recommendation systems has emerged as a prominent trend in the caching research field, particularly concerning the volume of data within the network and diverse user ...