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| title: README | |
| emoji: 🌐 | |
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| colorTo: purple | |
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| # hyper3labs 🌐 | |
| **Geometric Deep Learning Lab** | |
| Welcome to **hyper3labs** — a research and engineering lab focused on geometric deep learning, hyperbolic representations, and non-Euclidean machine learning. | |
| We build tools, models, and datasets that push the boundaries of how neural networks understand structure, hierarchy, and geometry. | |
| ## What We Do | |
| - 🔷 **Geometric & Hyperbolic Deep Learning** — embeddings and architectures that respect the intrinsic geometry of data | |
| - 🧠 **Graph Neural Networks** — scalable GNNs for relational and hierarchical data | |
| - 📊 **Data Visualization** — interactive tools for exploring high-dimensional and graph-structured data | |
| - 🛠️ **Open-Source Tooling** — reproducible research infrastructure for the ML community | |
| ## Links | |
| - 🌍 Website: [hyper3labs.github.io](https://hyper3labs.github.io) | |
| - 💻 GitHub: [github.com/hyper3labs](https://github.com/hyper3labs) | |
| - 🤗 HuggingFace: [huggingface.co/hyper3labs](https://huggingface.co/hyper3labs) | |
| --- | |
| *Building the geometry of intelligence.* |