MachineLearningLifeScience / meaningful-protein-representationsLinks
☆110Updated 3 years ago
Alternatives and similar repositories for meaningful-protein-representations
Users that are interested in meaningful-protein-representations are comparing it to the libraries listed below
Sorting:
- Multi-task and masked language model-based protein sequence embedding models.☆104Updated 4 years ago
- ☆109Updated last year
- ☆59Updated 2 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆129Updated 4 years ago
- Public repository describing training and testing of AntiBERTa.☆61Updated 2 years ago
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆104Updated 2 weeks ago
- Unconstrained lattice antibody-antigen bindings generator☆111Updated last year
- A Python package for extracting protein sequence features☆63Updated 3 years ago
- Protein design and variant prediction using autoregressive generative models☆115Updated last year
- AbLang: A language model for antibodies☆151Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- ☆71Updated 4 years ago
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆74Updated 2 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆108Updated last year
- a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)☆89Updated 2 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆59Updated 4 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆74Updated 4 years ago
- A generative latent variable model for biological sequence families.☆242Updated 3 years ago
- Evolutionary velocity with protein language models☆94Updated 2 years ago
- Scalable Protein Language Model Finetuning with Distributed Learning and Advanced Training Techniques such as LoRA.☆30Updated last year
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆84Updated last year
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆92Updated 2 years ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆61Updated last year
- Protein structure datasets for machine learning.☆112Updated 6 months ago
- Neural networks for deep mutational scanning data☆70Updated 5 months ago
- PaccMann models for protein language modeling☆43Updated 4 years ago
- Convenience Python APIs for antibody numbering using ANARCI☆108Updated 5 months ago
- ☆36Updated 10 months ago
- Protein language model trained on coding DNA☆51Updated last year
- Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"☆119Updated 8 months ago