BioComputingUP / CAFA-evaluator
A Python Tool for Benchmarking Ontological Classification Methods
☆40Updated 11 months ago
Alternatives and similar repositories for CAFA-evaluator:
Users that are interested in CAFA-evaluator are comparing it to the libraries listed below
- DeepGO with Fuzzy DL☆30Updated 2 years ago
- Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion☆39Updated 9 months ago
- Protein language model trained on coding DNA☆46Updated 6 months ago
- ☆66Updated 7 months ago
- RNA Multiple Sequence Alignment☆39Updated last year
- Biological prediction models made simple.☆41Updated 2 weeks ago
- LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure☆56Updated last year
- Public repository describing training and testing of AntiBERTa.☆58Updated 2 years ago
- ☆36Updated 3 months ago
- Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"☆112Updated last month
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆59Updated 8 months ago
- The code used to generate the results from Parkinson / Hard et al. 2022☆17Updated 5 months ago
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆69Updated 3 months ago
- Efficient implementatin of ESM family.☆55Updated 3 months ago
- ☆62Updated 3 years ago
- Code repository of "Deep generative design of RNA family sequences"☆33Updated 9 months ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated last year
- ☆103Updated 9 months ago
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆48Updated 4 months ago
- ☆104Updated last year
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆20Updated last year
- Finetuning ProGen2 protein language model for generation of protein sequences from selected protein families.☆57Updated 2 months ago
- Protein Design by Machine Learning guided Directed Evolution☆39Updated 3 weeks ago
- Learning the language of protein-protein interactions☆70Updated this week
- VESPA is a simple, yet powerful Single Amino Acid Variant (SAV) effect predictor based on embeddings of the Protein Language Model ProtT5…☆31Updated last year
- ☆19Updated 6 months ago
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆71Updated last year
- Data repository for "Fine-tuning protein language models boosts predictions across diverse tasks"☆37Updated 7 months ago
- Nucleic Acids Research 2024：RNA-MSM model is an unsupervised RNA language model based on multiple sequences that outputs both embedding a…☆61Updated 9 months ago
- ☆63Updated 6 months ago