CatchGPT is designed to evaluate written content and images to detect whether they have been generated by Artificial Intelligence. In today’s digital environment, discerning real content from AI-generated material is crucial. This Chrome extension employs advanced algorithms to analyze text and images instantaneously, allowing users to separate the signal from the noise. Ideal for content creators, educators, and researchers, CatchGPT enhances credibility and fosters trust in written and visual media.

gym-multigrid provides a suite of customizable gridworld environments designed for multi-room navigation and exploration tasks in reinforcement learning. Each environment consists of interconnected rooms populated with objects, keys, doors, and obstacles. Users can adjust grid size, room configurations, and object placements programmatically. The library supports both full and partial observation modes, offering RGB or matrix state representations. Actions include movement, object interaction, and door manipulation. By integrating it as a Gym environment, researchers can leverage any Gym-compatible agent, seamlessly training and evaluating algorithms on tasks like key-door puzzles, object retrieval, and hierarchical planning. gym-multigrid’s modular design and minimal dependencies make it ideal for benchmarking new AI strategies.

ReadTheory is an adaptive online platform for K-12 reading comprehension. The system uses algorithmic science and curated passages to match students with texts matched to their Lexile Levels. It helps students track their progress through engaging reading exercises while providing valuable feedback.

DataEnvGym delivers a collection of modular, customizable environments built on the Gym API to facilitate reinforcement learning research in data-driven domains. Researchers and engineers can select from built-in tasks like data cleaning, feature engineering, batch scheduling, and streaming analytics. The framework supports seamless integration with popular RL libraries, standardized benchmarking metrics, and logging tools to track agent performance. Users can extend or combine environments to model complex data pipelines and evaluate algorithms under realistic constraints.