Browse the complete library of AI and AI-related tools and resources below. Use the search bar below to find a tool fast or go back to the main AI tools and resource hub for filtering options. Every item has its own dedicated page for context, notes, and the outbound link.
Have feedback on any of these AI tools and resources? Think something should be added or removed? Contact me to let me know!
SleepFM is a multimodal sleep foundation model designed to enhance the analysis of polysomnography (PSG) data, addressing challenges in standardization and integration. The tool leverages a novel contrastive learning approach to improve sleep study outcomes.
This page introduces Mintlify’s self-updating documentation engine that utilizes AI to keep documentation in sync with codebases, enabling modern teams to ship faster and maintain accurate documentation.
This is an open-source library designed for creating AI agents that can control native Android applications. It is particularly beneficial for field workers and industries that prioritize mobile solutions, such as logistics and the gig economy.
The Stanford Agentic Reviewer is an AI-powered tool designed to assist in the review process of scientific research papers, developed by the Stanford Machine Learning Group. It aims to enhance the efficiency and quality of paper submissions and evaluations.
Metorial is an integration platform designed for artificial intelligence, providing enterprise-grade observability, reliability, and scalability for AI applications. It serves as the infrastructure layer for the MCP, facilitating seamless integration and management of AI tools.
Pippit is an AI-native marketing and advertising platform designed to assist users in creating scalable content through smart creative agents. It aims to streamline the content creation process by leveraging artificial intelligence.
This website offers an AI-optimized browser designed to enhance user experience for agentic tasks, focusing on improving efficiency and effectiveness in web interactions.
Hugging Face Skills provides definitions for AI/ML tasks such as dataset creation, model training, and evaluation, designed to work with various coding agent tools.