aws-samples / esm3-on-amazon-sagemakerLinks
☆16Updated 8 months ago
Alternatives and similar repositories for esm3-on-amazon-sagemaker
Users that are interested in esm3-on-amazon-sagemaker are comparing it to the libraries listed below
Sorting:
- Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.☆22Updated 3 years ago
- ☆79Updated 3 weeks ago
- ☆46Updated 2 months ago
- ☆40Updated last month
- Official release of the ProGen models☆36Updated 8 months ago
- BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluatio…☆204Updated 4 months ago
- A curated list of resources for protein analysis on AWS☆30Updated last year
- Evolutionary couplings from protein and RNA sequence alignments☆282Updated this week
- UniRep model, usage, and examples.☆355Updated 3 years ago
- OMEGA code described in "Scalable and cost-efficient custom gene library assembly from oligopools."☆33Updated 3 months ago
- Efficient evolution from protein language models☆215Updated 2 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆120Updated 5 years ago
- AbLang: A language model for antibodies☆148Updated 2 years ago
- Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting…☆170Updated last year
- A generative latent variable model for biological sequence families.☆241Updated 3 years ago
- NVIDIA Digital Biology examples for optimized inference and training at scale☆178Updated 3 weeks ago
- 🔧rna-tools: a toolbox to analyze sequences, structures and simulations of RNA (and more) used by RNA CASP, RNA PUZZLES, and me ;-) docs …☆178Updated 2 months ago
- Convenience Python APIs for antibody numbering using ANARCI☆106Updated 4 months ago
- Bilingual Language Model for Protein Sequence and Structure☆272Updated 9 months ago
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆163Updated last year
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆129Updated 3 years ago
- ☆253Updated last year
- Analysis and figure code from Alley et al. 2019.☆58Updated 2 years ago
- ☆127Updated 4 years ago
- ☆114Updated last year
- MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration☆144Updated 3 months ago
- ☆36Updated 2 years ago
- Code for ColabDock paper☆148Updated 5 months ago
- A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).☆140Updated 2 weeks ago
- Official implement of paper "Multi-purpose RNA Language Modeling with Motif-aware Pre-training and Type-guided Fine-tuning"☆53Updated last year