☆128Feb 16, 2021Updated 5 years ago
Alternatives and similar repositories for embeddings_reproduction
Users that are interested in embeddings_reproduction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Amino Acid Embedding Representation as Machine Learning Features☆21Aug 3, 2018Updated 7 years ago
- Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019☆262Jun 16, 2021Updated 4 years ago
- UniRep model, usage, and examples.☆362Mar 1, 2026Updated 2 months ago
- A new approach for representing biological sequences☆101Sep 14, 2024Updated last year
- Get protein embeddings from protein sequences☆508Apr 28, 2023Updated 3 years ago
- 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.
- ☆52Jul 23, 2020Updated 5 years ago
- ☆191Feb 8, 2022Updated 4 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆738Dec 11, 2022Updated 3 years ago
- A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …☆27Aug 7, 2020Updated 5 years ago
- Reimplementation of the UniRep protein featurization model.☆108Sep 3, 2024Updated last year
- Train an Amino Acid Embeddings (or a dragon?)☆16Apr 16, 2017Updated 9 years ago
- ☆35Jul 22, 2019Updated 6 years ago
- Listing of papers about machine learning for proteins.☆1,705May 31, 2024Updated last year
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆121Aug 7, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Protein function prediction using a variational autoencoder☆94Mar 7, 2018Updated 8 years ago
- mGPfusion is a Gaussian process based method for predicting stability changes upon single and multiple mutations of proteins that comple…☆15May 24, 2018Updated 8 years ago
- ProFET: Protein Feature Engineering Toolkit for Machine Learning☆57Sep 14, 2015Updated 10 years ago
- Functions and classes for doing Gaussian process models of proteins☆11Apr 13, 2018Updated 8 years ago
- Alignment-free Protein Motif Miner☆16Nov 8, 2018Updated 7 years ago
- ☆16Nov 11, 2022Updated 3 years ago
- Universal framework for physically based computational protein design☆37Aug 19, 2023Updated 2 years ago
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆35Feb 23, 2021Updated 5 years ago
- ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit a…☆1,307May 22, 2025Updated last year
- 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.
- Analysis and figure code from Alley et al. 2019.☆59Mar 25, 2023Updated 3 years ago
- ☆16Jun 22, 2020Updated 5 years ago
- Codebase for our preprint using trRosetta to design proteins with discontinuous functional sites, found here: https://www.biorxiv.org/con…☆16Oct 27, 2021Updated 4 years ago
- Standardized data set for machine learning of protein structure☆915Nov 18, 2020Updated 5 years ago
- The repository contains all the code for the paper amino acid encoding using deep learning application☆20Jul 5, 2024Updated last year
- Deep convolutional networks for fold recognition☆22Nov 8, 2019Updated 6 years ago
- A Deep Learning Model for Protein Function Prediction☆18Jul 31, 2020Updated 5 years ago
- ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.☆20Sep 16, 2024Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆77Dec 28, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Protein Interface Prediction using Graph Convolutional Networks☆93Oct 2, 2020Updated 5 years ago
- Full-length protein structure determination from cryo-EM maps using deep learning☆15May 28, 2023Updated 2 years ago
- 🔗 PyTorch implementation of the Parallelized Natural Extension Reference Frame algorithm☆21Sep 8, 2018Updated 7 years ago
- Similarity Ensemble Approach with deep learning substance fingerprints☆62Aug 10, 2016Updated 9 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆136Nov 17, 2021Updated 4 years ago
- Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.☆79Mar 25, 2023Updated 3 years ago
- Generative Models for Graph-Based Protein Design☆288Dec 24, 2020Updated 5 years ago