jertubiana / PGMLinks
Probabilistic Graphical Models in Python3.
☆24Updated 4 months ago
Alternatives and similar repositories for PGM
Users that are interested in PGM are comparing it to the libraries listed below
Sorting:
- ☆110Updated 3 years ago
- ☆18Updated 7 years ago
- ☆32Updated last month
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- An introductory workshop to protein language models☆16Updated 3 years ago
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions☆24Updated 2 years ago
- Code for our paper "Protein sequence design with a learned potential"☆34Updated 4 years ago
- A modular compiler for biological chemical reaction networks☆47Updated 2 weeks ago
- Fast and accurate protein structure prediction☆56Updated 9 months ago
- Learning with uncertainty for biological discovery and design☆34Updated 2 years ago
- Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.☆34Updated 3 years ago
- SPECTRA: Spectral framework for evaluation of biomedical AI models☆41Updated 7 months ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- ☆30Updated 5 months ago
- ☆12Updated 2 years ago
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆18Updated 4 years ago
- ☆36Updated 6 years ago
- Reimplementation of the UniRep protein featurization model.☆108Updated last year
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆25Updated last year
- Computes a molecular graph for protein structures.☆58Updated last week
- TEINet: a deep learning framework for prediction of TCR-epitope binding specificity☆15Updated 2 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆59Updated 4 years ago
- A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).☆144Updated last month
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- Symbolic Kinetic Models with Python☆32Updated 4 months ago
- Source code for fitting thermodynamic models (MoCHI), downstream analyses and to reproduce all figures in the following publication: Mapp…☆21Updated 2 years ago
- Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AI…☆35Updated 3 years ago
- Code for the MSB publication: Exploring amino acid functions and positional subtypes in a deep mutational landscape☆11Updated 3 years ago