Metamorph Labs is a dedicated platform for the vibrant AI/ML community. It offers a variety of resources, including datasets, pre-trained models, research papers, AI tools, and tutorials. Designed to empower developers, researchers, and AI enthusiasts, the platform facilitates knowledge sharing, product development, and innovative solutions in AI/ML. Metamorph Labs aims to build a thriving AI/ML ecosystem that supports every individual, from novice to expert, in harnessing the power of artificial intelligence.

RL Collision Avoidance provides a complete pipeline for developing, training, and deploying multi-robot collision avoidance policies. It offers a set of Gym-compatible simulation scenarios where agents learn collision-free navigation through reinforcement learning algorithms. Users can customize environment parameters, leverage GPU acceleration for faster training, and export learned policies. The framework also integrates with ROS for real-world testing, supports pre-trained models for immediate evaluation, and features tools for visualizing agent trajectories and performance metrics.

TexasHoldemAgent provides a modular environment built on Python to train, evaluate, and deploy an AI-powered poker player for heads-up limit Texas Hold’em. It integrates a custom simulation engine with deep reinforcement learning algorithms, including DQN, for iterative policy improvement. Key capabilities include hand state encoding, action space definition (fold, call, raise), reward shaping, and real-time decision evaluation. Users can customize learning parameters, leverage CPU/GPU acceleration, monitor training progress, and load or save trained models. The framework supports batch simulation to test various strategies, generate performance metrics, and visualize win rates, empowering researchers, developers, and poker enthusiasts to experiment with AI-driven gameplay strategies.

Goodlookup is a smart function specifically designed for Google Sheets users. It seamlessly integrates the intuitive power of GPT-3 with robust fuzzy matching abilities. This tool enables users to efficiently and accurately perform complex tasks such as text-to-text record matching, topic clustering, and synonym resolution. With its pre-trained model, Goodlookup offers high confidence scores, helping users gauge the accuracy of their matches and achieve a more unified view of dispersed data.