Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Repository Index
47,133 repositories indexed
1–24 of 93 · Most stars
Official git repository for Biopython (originally converted from CVS)
- python
- bioinformatics
- genomics
- biopython
Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
The repository host gives no description.
This package contains deep learning models and related scripts for RoseTTAFold
Code for the ProteinMPNN paper
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
The repository host gives no description.
- foundation-model
- gpt
- single-cell
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Foundation Models for Genomics & Transcriptomics
Precision Medicine Knowledge Graph (PrimeKG)
- knowledge-graph
- precision-medicine
- therapeutics
- bioinformatics
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
- dna
- k-mer
- python
- bloom-filter
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
A Go package for engineering organisms.
- synthetic-biology
- synbio
- genetic-engineering
- molecular-biology
Official release of the ProGen models
- language-model
- protein
- generative-model
Generation of protein sequences and evolutionary alignments via discrete diffusion models
- discrete-diffusion
- generative-model
- multiple-sequence-alignment
- protein-sequences
Fast, sensitive and accurate integration of single-cell data with Harmony
OmegaFold Release Code
Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.
- sequence-alignment
- edit-distance
- levehnstein-distance
- library
R package for detecting doublets in single-cell RNA sequencing data