MultiMolecule¶
Tip
Accelerate Molecular Biology Research with Machine Learning
𧬠Introduction¶
MultiMolecule is a framework that bridges molecular biology and machine learning. It offers machine learning tools specifically designed for biomolecular data (RNA, DNA, and protein).
MultiMolecule serves as a foundation for advancing research at the intersection of molecular biology and machine learning.
π Features¶
π Resources¶
- Model Hub: Models designed for biomolecular data.
- Dataset Hub: Processed biomolecular datasets.
π οΈ Tools¶
βοΈ Infrastructure¶
data
: SmartDataset
that automatically infer tasksβincluding their level (sequence, token, contact) and type (classification, regression).tokenisers
: Tokenizers for biomolecular sequences.module
: Neural network building blocks.
π§ Installation¶
π Citation¶
If you use MultiMolecule in your research, please cite us as follows:
BibTeX | |
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π License¶
We believe openness is the Foundation of Research.
MultiMolecule is licensed under the GNU Affero General Public License.
For additional terms and clarifications, please refer to our License FAQ.
Please join us in building an open research community.
SPDX-License-Identifier: AGPL-3.0-or-later