Trending repositories
Ranked by Attention Score: stars gained over the last 180 complete days
17 repositories by Attention Score · May 9, 2026 – Nov 4, 2026 (UTC)
3.aqlaboratory / openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
4.chaidiscovery / chai-lab
Chai-1, SOTA model for biomolecular structure prediction
5.evo-design / evo
Biological foundation modeling from molecular to genome scale
6.jerryji1993 / DNABERT
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
- sequence
- genome
- +4 more
7.MAGICS-LAB / DNABERT_2
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
- dataset
- dna
- dna-processing
- dna-training
- genome
- genome-analysis
- +10 more
8.calico / borzoi
RNA-seq prediction with deep convolutional neural networks.
9.biomap-research / scFoundation
The repository host gives no description.
10.HazyResearch / hyena-dna
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
- foundation-models
- genomics
- language-models
11.kuleshov-group / caduceus
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
12.bigdatagenomics / adam
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
- spark
- big-data
- bioinformatics
- genomics
- parquet
- avro
- +4 more
13.Perturbation-Response-Prediction / PRnet
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
15.calico / basenji
Sequential regulatory activity predictions with deep convolutional neural networks.
16.awslabs / dgl-lifesci
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
- bioinformatics
- geometric-deep-learning
- +2 more
17.lifanchen-simm / transformerCPI
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
- drug-target-identification
- drug-discovery