Listing of papers about machine learning for proteins.
☆1,717May 31, 2024Updated 2 years ago
Alternatives and similar repositories for Machine-learning-for-proteins
Users that are interested in Machine-learning-for-proteins are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- List of papers about Proteins Design using Deep Learning☆1,977Aug 15, 2026Updated last month
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆745Dec 11, 2022Updated 3 years ago
- Evolutionary Scale Modeling (esm): Pretrained language models for proteins☆4,171Feb 7, 2024Updated 2 years ago
- A collection of *fold* tools☆302Aug 8, 2025Updated last year
- ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit a…☆1,323May 22, 2025Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2☆3,433Dec 16, 2025Updated 9 months ago
- Standardized data set for machine learning of protein structure☆920Nov 18, 2020Updated 5 years ago
- Protein Graph Library☆1,192Sep 12, 2026Updated last week
- MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.☆778Jun 19, 2024Updated 2 years ago
- Making Protein Design accessible to all via Google Colab!☆941Aug 28, 2026Updated 3 weeks ago
- ☆260Jul 31, 2024Updated 2 years ago
- Get protein embeddings from protein sequences☆510Apr 28, 2023Updated 3 years ago
- Code for the ProteinMPNN paper☆1,858Aug 14, 2024Updated 2 years ago
- Making Protein folding accessible to all!☆2,934Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Diffusion models of protein structure; trigonometry and attention are all you need!☆568Sep 9, 2026Updated 2 weeks ago
- Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design☆709Updated this week
- Awesome Protein Representation Learning☆688Nov 16, 2024Updated last year
- Foldseek enables fast and sensitive comparisons of large structure sets.☆1,298Sep 9, 2026Updated 2 weeks ago
- Code for running RFdiffusion☆3,055Jul 15, 2026Updated 2 months ago
- UniRep model, usage, and examples.☆367Mar 1, 2026Updated 6 months ago
- ATOM3D: tasks on molecules in three dimensions☆319Mar 2, 2023Updated 3 years ago
- OmegaFold Release Code☆627Dec 12, 2022Updated 3 years ago
- An all-atom protein structure dataset for machine learning.☆366Mar 16, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A generative model for programmable protein design☆834Apr 11, 2024Updated 2 years ago
- Generative Models for Graph-Based Protein Design☆292Dec 24, 2020Updated 5 years ago
- Official repository for the ProteinGym benchmarks☆473Mar 25, 2026Updated 5 months ago
- trRosetta for protein design☆184May 15, 2021Updated 5 years ago
- Joint sequence and structure generation with RoseTTAFold sequence space diffusion☆332Oct 28, 2024Updated last year
- Generation of protein sequences and evolutionary alignments via discrete diffusion models☆685Jan 15, 2026Updated 8 months ago
- De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds☆189Apr 21, 2024Updated 2 years ago
- ☆2,972Sep 16, 2026Updated last week
- Official release of the ProGen models☆705Jun 2, 2026Updated 3 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Diffusion-based all-atom protein generative model.☆239Aug 27, 2025Updated last year
- Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure☆326Nov 15, 2025Updated 10 months ago
- Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"☆170Aug 24, 2023Updated 3 years ago
- Versatile computational pipeline for processing protein structure data for deep learning applications.☆282Feb 14, 2024Updated 2 years ago
- Evolutionary couplings from protein and RNA sequence alignments☆315Apr 20, 2026Updated 5 months ago
- ☆187Feb 8, 2022Updated 4 years ago
- Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking☆1,575May 2, 2025Updated last year