☆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 5 years ago
- UniRep model, usage, and examples.☆365Mar 1, 2026Updated 4 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
- 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.
- ☆52Jul 23, 2020Updated 5 years ago
- ☆189Feb 8, 2022Updated 4 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆740Dec 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.☆107Sep 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.☆1,712May 31, 2024Updated 2 years ago
- 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Protein function prediction using a variational autoencoder☆95Mar 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
- ☆17Nov 11, 2022Updated 3 years ago
- Universal framework for physically based computational protein design☆36Aug 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…☆1,314May 22, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Analysis and figure code from Alley et al. 2019.☆59Mar 25, 2023Updated 3 years ago
- ☆16Jun 22, 2020Updated 6 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☆916Nov 18, 2020Updated 5 years ago
- The repository contains all the code for the paper amino acid encoding using deep learning application