GitHub

nxd914/allocation-focused-regime

Regime Shift detects market regimes by analyzing factor pair performance (Value/Growth, Momentum/Quality) using a jump-penalized optimization framework. Unlike traditional clustering or HMM approaches ...
IEEE

UAV Localization Using Automatically Encoded Satellite Images With Hyperparameter Optimization Methodology and Data Augmentation

Abstract: The use of uncrewed aerial vehicles (UAVs) has grown across various fields, requiring accurate localization for efficiency. Reliance on GPS poses issues like interference and signal loss.
GitHub

kaonasty/network-anomaly-detection

This project simulates a real-world scenario where we need to detect anomalous behavior in telecom network nodes — things like latency spikes, packet loss surges, CPU saturation, and correlated ...
Hacker

Beyond Pandas: Architecting High-Performance Python Pipelines

Digital Healthcare Architect specializing in the design and integration of enterprise healthcare platforms. In the world of data science, we often start our careers with pandas and a neatly formatted ...
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, ...
marktechpost

A Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment

In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and ...