Nvidia's new open weights Nemotron 3 super combines three different architectures to beat gpt-oss and Qwen in throughput

For enterprises, the most significant technical leap in Nemotron 3 Super is its optimization for the Nvidia Blackwell GPU platform. By pre-training natively in NVFP4 (4-bit floating point), Nvidia has ...
IEEE

DERL: A Differential Evolution-Reinforcement Learning Framework for Efficient Hyperparameter Optimization in Hyperspectral Image Classification

Abstract: The performance of hyperspectral image (HSI) classifiers is highly sensitive to the configuration of their hyperparameters (HPs). However, manual tuning is inefficient and impractical, ...
IEEE

Deep Learning-Based Hyperparameter Optimization for Enhanced Segmentation of RGB Images in Oil Spill Detection Within Port Environments

Abstract: Accurate detection of oil spills in dynamic port environments remains critical for timely response and effective environmental protection. Recent studies have explored the application of ...
GitHub

High-performance optimization algorithms in Rust with Python bindings

Optimiz-rs provides blazingly fast, production-ready implementations of advanced optimization and statistical inference algorithms. Built with Rust for maximum performance and exposed to Python ...
GitHub

arnobt78/Vehicle-Routing-Problem-Time-Windows-Solver-Comparison--VRPTW-Python

This project is an educational and research-oriented implementation that benchmarks and compares different metaheuristic algorithms for solving VRPTW problems. The VRPTW is a classic NP-hard ...