Stars
Implementation of Graph Convolutional Networks in TensorFlow
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
[ISMB 2025] DNABERT_S: Learning Species-Aware DNA Embedding with Genome Foundation Models
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Making Protein folding accessible to all!
(Meta-)genome screening for functional and natural product gene sequences
Fast automated prediction of protein antimicrobial regions