Determined AI is an advanced open-source deep learning platform that simplifies the complexities of model training. It provides tools for efficient distributed training, built-in hyperparameter tuning, and robust experiment management. Specifically designed to empower data scientists, it accelerates the model development lifecycle by improving experiment tracking, simplifying resource management, and ensuring fault tolerance. The platform integrates seamlessly with popular frameworks like TensorFlow and PyTorch and optimizes GPU and CPU utilization for maximum performance.

MARTI (Multi-Agent Reinforcement learning Toolkit and Interface) is a research-oriented framework that streamlines the development, evaluation, and benchmarking of multi-agent RL algorithms. It offers a plug-and-play architecture where users can configure custom environments, agent policies, reward structures, and communication protocols. MARTI integrates with popular deep learning libraries, supports GPU acceleration and distributed training, and generates detailed logs and visualizations for performance analysis. The toolkit’s modular design allows rapid prototyping of novel approaches and systematic comparison against standard baselines, making it ideal for academic research and pilot projects in autonomous systems, robotics, game AI, and cooperative multi-agent scenarios.