ml4bio / e2efoldLinks
pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"
☆114Updated last year
Alternatives and similar repositories for e2efold
Users that are interested in e2efold are comparing it to the libraries listed below
Sorting:
- Multi-task and masked language model-based protein sequence embedding models.☆102Updated 4 years ago
- MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration☆135Updated 2 weeks ago
- MSA Transformer reproduction code☆83Updated 3 years ago
- ☆69Updated 2 months ago
- Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"☆157Updated last year
- ☆107Updated last year
- Generative Language Modeling for Antibody Design☆157Updated 9 months ago
- ☆109Updated 3 years ago
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆100Updated last week
- Repository for publicly available deep learning models developed in Rosetta community☆117Updated 3 years ago
- RiboNucleic Acid (RNA) Language Model☆112Updated last month
- RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.☆104Updated last month
- Unconstrained lattice antibody-antigen bindings generator☆110Updated last year
- AbLang: A language model for antibodies☆143Updated last year
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- Implementation of ProteinBERT in Pytorch☆160Updated 3 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆101Updated 9 months ago
- Exploring Evolution-aware & free protein language models as protein function predictors☆63Updated 9 months ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆60Updated 11 months ago
- Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure☆147Updated 4 years ago
- ☆129Updated 2 years ago
- Protein structure datasets for machine learning.☆111Updated 2 months ago
- Nucleic Acids Research 2024：RNA-MSM model is an unsupervised RNA language model based on multiple sequences that outputs both embedding a…☆63Updated 11 months ago
- A generative latent variable model for biological sequence families.☆224Updated 3 years ago
- Protein design and variant prediction using autoregressive generative models☆106Updated last year
- An evolutionary context-integrated deep learning framework for protein engineering☆63Updated 3 years ago
- ☆73Updated last year
- ☆58Updated 2 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆126Updated 3 years ago
- ☆248Updated 11 months ago