Welcome to Tensorium AI - the home of experimental AI research and open-source development. We focus on pushing the boundaries of AI through practical implementations and innovative approaches to complex problems.
Tensorium AI is dedicated to advancing the field of artificial intelligence through open collaboration, experimental research, and the development of practical tools that bridge theoretical concepts with real-world applications. We believe in:
- Open source development that benefits the entire AI community
- Experimental approaches that challenge conventional thinking
- Building practical tools that solve real problems
- Fostering collaboration between researchers and developers
Project | Visualization |
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Continuum An experimental narrative engine for exploring alternate timelines through AI-driven story generation. Continuum provides: - Timeline expansion for building narrative graphs - Character initialization and development - Temporal consistency management - Transform prompts for narrative guidance - Exploration of alternate histories and possibilities Learn more about Continuum → |
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AIrbitrator A universal AI protocol transformer with dynamic middleware and code execution capabilities. Features include: - Seamless transformation between AI service protocols - Dynamic middleware creation and modification - Runtime endpoint spawning and management - Self-modifying architecture with built-in tool system - Advanced protocol detection and transformation Learn more about AIrbitrator → |
Coming soon |
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Pump Fun Analytics A real-time token analytics platform providing advanced monitoring and analysis capabilities for cryptocurrency tokens. Key features: - Live token price and volume tracking - Automatic token discovery and tracking - Advanced trigger system with multi-condition evaluation - In-browser database system for efficient data management - Real-time WebSocket updates with automatic reconnection Learn more about Pump Fun Analytics → |
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Vector Toolset An innovative exploration platform designed to harness the power of embeddings and high-dimensional vector spaces. Features include: - Interactive visualization of word similarities in 3D space - Vector arithmetic and analogical reasoning - Custom logical operations in embedding space - Support for various embedding models (Word2Vec, BERT) - Experimental playground for vector reasoning Learn more about Vector Toolset → |
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Project | Visualization |
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Vector Visualization An interactive web application for visualizing and exploring high-dimensional embeddings using advanced dimensionality reduction techniques. Key features: - Interactive 2D visualization of embeddings - Dynamic zooming and panning - Point selection and information display - Data processing options (normalization, scaling) - Persistent storage with SQLite - Docker support for easy deployment Learn more about Vector Visualization → |
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Unified Theory An experimental framework for exploring the intersection of physics and artificial intelligence. This project includes: - Quantum field theory simulations - General relativity modeling - Statistical mechanics implementations - Interactive visualization of physical phenomena - Real-time calculation of physical interactions Learn more about Unified Theory → |
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Each project contains its own detailed documentation and setup instructions. Choose a project that interests you and follow the README in its directory for specific setup and usage guidelines.
We welcome contributions from the community! Whether you're interested in:
- Adding new features
- Fixing bugs
- Improving documentation
- Sharing ideas
Please read our Contributing Guidelines for details on our code of conduct and the process for submitting pull requests.
All projects are licensed under their respective licenses. Please check individual project directories for specific license information.
- GitHub Issues: Use the appropriate project's issue tracker
- Discussions: Join our GitHub Discussions
Special thanks to all contributors and researchers who have helped shape these projects through their valuable input and contributions.