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README.md
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pinned: true
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license: agpl-3.0
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short_description: Accelerate Molecular Biology Research with Machine Learning
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sdk_version: 5.
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---
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### 📑 Resources
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- **[Model Hub](https://
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- **[Dataset Hub](https://
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### 🛠️ Tools
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- **[`pipelines`](pipelines)**: End-to-end workflows for applying models.
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- **[`runner`](runner)**: Automatic Runner for training models.
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### ⚙️ Infrastructure
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- **[`data`](data)**: Smart
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- **[`tokenisers`](tokenisers)**: Tokenizers for biomolecular sequences.
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- **[`module`](module)**: Neural network building blocks.
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## 🔧 Installation
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Please join us in building an open research community.
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`SPDX-License-Identifier: AGPL-3.0-or-later`
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pinned: true
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license: agpl-3.0
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short_description: Accelerate Molecular Biology Research with Machine Learning
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sdk_version: 5.25.2
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---
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### 📑 Resources
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- **[Model Hub](https://huggingface.co/multimolecule)**: Models designed for biomolecular data.
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- **[Dataset Hub](https://huggingface.co/multimolecule)**: Processed biomolecular datasets.
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### 🛠️ Tools
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- **[`pipelines`](https://multimolecule.danling.org/pipelines)**: End-to-end workflows for applying models.
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- **[`runner`](https://multimolecule.danling.org/runner)**: Automatic Runner for training models.
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### ⚙️ Infrastructure
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- **[`data`](https://multimolecule.danling.org/data)**: Smart Dataset that automatically infer tasks—including their level (sequence, token, contact) and type (classification, regression).
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- **[`tokenisers`](https://multimolecule.danling.org/tokenisers)**: Tokenizers for biomolecular sequences.
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- **[`module`](https://multimolecule.danling.org/module)**: Neural network building blocks.
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## 🔧 Installation
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Please join us in building an open research community.
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`SPDX-License-Identifier: AGPL-3.0-or-later`
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