Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Machine Learning Toolkit for Kubernetes
Community interface for generative AI
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry
🦭 Full stack AI voice chatbot (speech-to-text, LLM, text-to-speech) with integrations to Auth0, OpenAI, Google Cloud and Stripe - Web App, Web API and AI API
Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.
The source of the demo app for fal-serverless + Next.js
AI search for all the best resources in AI – powered by Ben's Bites 💯
A platform for letting researchers connect an intelligent AI directly to real time communication networks and 3D worlds. Your AI, Anywhere.
Turn your journal into music, winner in the Magenta/Gray Area ML Music Hackathon
The JavaScript client and utilities to fal-serverless with built-in TypeScript definitions
Experimental Chat GPT plugin for Figma
Organize latent space