RL-Agents is a research-grade reinforcement learning framework built on PyTorch that bundles popular RL algorithms across value-based, policy-based, and actor-critic methods. The library features a modular agent API, GPU acceleration, seamless integration with OpenAI Gym, and built-in logging and visualization tools. Users can configure hyperparameters, customize training loops, and benchmark performance with a few lines of code, making RL-Agents ideal for academic research, prototyping, and industrial experimentation.

AIAnalyzer.io is a high-level analytical tool designed to compare, evaluate, and benchmark Artificial Intelligence (AI) models across the globe. It offers detailed performance metrics, giving users a thorough understanding of various AI models' capabilities and efficiencies. This platform is ideal for businesses and researchers who need to analyze AI models for accuracy, performance, and usability. Additionally, it supports data-driven decision-making by providing robust comparison features.