virtualramblas / awesome-deep-learning-4-life-sciencesLinks
A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
☆144Updated 2 months ago
Alternatives and similar repositories for awesome-deep-learning-4-life-sciences
Users that are interested in awesome-deep-learning-4-life-sciences are comparing it to the libraries listed below
Sorting:
- A curated list of awesome self-learning materials in Computational Structural Biology, such as sources, tutorials, etc.☆54Updated 3 years ago
- ☆110Updated 3 years ago
- ☆108Updated 2 years ago
- Repository for mRNA Paper and CodonBERT publication.☆134Updated last year
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆75Updated 2 years ago
- A Python package for extracting protein sequence features☆62Updated 3 years ago
- A curated list of resources for machine learning for small-molecule drug discovery☆230Updated 2 years ago
- Structural Bioinformatics is awesome. Throw your textbook in the garbage, light the garbage can on fire, and blend the ashes into your co…☆74Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Protein design and variant prediction using autoregressive generative models☆117Updated last year
- Graph Network for protein-protein interface☆120Updated last year
- Sandbox for Deep-Learning based Computational Protein Design☆119Updated 2 weeks ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆122Updated 5 years ago
- Directed evolution of proteins in sequence space with gradients☆93Updated last month
- predicting peptide-protein interactions☆136Updated last year
- Lbster: Language models for Biological Sequence Transformation and Evolutionary Representation☆139Updated 2 weeks ago
- ☆253Updated last year
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆129Updated 4 years ago
- Supporting code for the paper "Discovery of a structural class of antibiotics with explainable deep learning"☆107Updated 2 years ago
- Multi-task and masked language model-based protein sequence embedding models.☆104Updated 4 years ago
- ☆218Updated 3 years ago
- Versatile computational pipeline for processing protein structure data for deep learning applications.☆269Updated last year
- Improved antibody structure-based design using inverse folding☆145Updated this week
- A free and collaborative space for Machine Learning 🤖 applied to Biology 🧬☆43Updated last year
- Protein structure datasets for machine learning.☆112Updated 7 months ago
- bio-transformers is a wrapper on top of the ESM/Protbert model, trained on millions on proteins and used to predict embeddings.☆155Updated 2 years ago
- A short course on proteins and protein design aimed at early career students☆164Updated last year
- DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images☆114Updated last year
- Tutorials, cheat sheets, and other resources for computational methods for protein design.☆124Updated 2 years ago
- Scalable Protein Language Model Finetuning with Distributed Learning and Advanced Training Techniques such as LoRA.☆31Updated last year