Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Over the years, a PC might become slower and less reliable than it once was, which is why PC optimization software is vital. The list below includes performant tools that can improve system ...

GraphiQ is an open-source framework for designing photonic graph state generation schemes. Photonic graph states are an important resource for many quantum information processing tasks including ...

Run oprn source Chatterbox on CPU or GPU with Python 3.11 with watermarking support, giving creators fast, traceable voice ...

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...