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Our Open Source Initiatives

We build in the open. These are the tools we use ourselves for protein analysis and chemical property prediction, released so other groups can run the same work without rebuilding the plumbing.

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FastPLMs

Efficient protein language models with Flash/Flex attention. Open-source effort to increase the efficiency of pretrained protein language models.

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Key Features

  • Flash/Flex Attention: Replaces native attention for improved efficiency

  • Huggingface Integration: All models can be loaded via AutoModel from Huggingface transformers

  • Dataset Embedding: Embed entire datasets with no new code using embed_dataset

  • Optimized Processing: Sequences are sorted to reduce padding tokens for faster processing

Why FastPLMs?

  • Efficient PLM Handling: Optimized for loading, fine-tuning, and inference with large language models

  • Advanced Optimization: Built-in techniques for model quantization, pruning, and more

  • Scalability: Designed for handling large datasets and models

  • Community Driven: Enables researchers and developers to build sophisticated AI applications

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Optimize the outcome, not the interface.

Biological design programs selected on the predicted state of the system, not the quality of one contact.

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