Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

Abstract: Interest in applying Reinforcement Learning (RL) to Autonomous Vehicles (AVs) is experiencing a rapid and substantial expansion. Proximal Policy Optimization (PPO), a well-known RL algorithm ...

While we are accepting pull requests for Hacktoberfest, we will reject any low-quality PR's. We are accepting PRs for: Packages - updating package versions, adding new packages Documentation updates ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Algorithmic trading, once the domain of global hedge funds, is now increasingly relevant for HNIs and family offices in India ...

Introduction Paediatric traumatic cardiac arrest (TCA) is a high acuity, low frequency event. Traditionally, survival from TCA has been reported as low, with some believing resuscitation is futile.

Understanding the core principles of computer programming is the first step to writing effective code. Learning about ...

Abstract: Image segmentation process represents the main stage for most computer vision systems. This paper presents an improved algorithm based on simple linear iterative clustering (SLIC) to reduce ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

For example usage, we encourage you to checkout the scripts in the examples folder and in the tests folder. The examples folder contains two scripts showing typical usage. The script simpleExample.py ...