ml-jku / DeepRC
DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
☆114Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DeepRC
- Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)☆71Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆72Updated 3 years ago
- RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Ma…☆93Updated last year
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆34Updated 3 years ago
- Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AI…☆28Updated 2 years ago
- A repository with exploration into using transformers to predict DNA ↔ transcription factor binding☆81Updated 2 years ago
- ☆34Updated 3 years ago
- ☆104Updated 2 years ago
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆33Updated 3 years ago
- Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences☆26Updated 3 years ago
- A generative latent variable model for biological sequence families.☆209Updated 2 years ago
- GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.☆36Updated last year
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated 6 months ago
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆56Updated 2 years ago
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆16Updated 2 years ago
- ☆130Updated 2 years ago
- Protein function prediction using a variational autoencoder☆92Updated 6 years ago
- Training and testing of DeepBind models.☆92Updated 9 years ago
- code repo for Set2Gaussian☆15Updated 4 years ago
- ☆51Updated 4 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- Protein sequence classification with self-supervised pretraining☆83Updated 2 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆104Updated 3 months ago
- Energy-based models for atomic-resolution protein conformations☆95Updated 2 years ago
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆75Updated 3 years ago
- Training and evaluating a variational autoencoder for pan-cancer gene expression data☆164Updated 5 years ago
- Fitness landscape exploration sandbox for biological sequence design.☆156Updated last year
- A Python package for extracting protein sequence features☆58Updated 2 years ago
- pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"☆109Updated 7 months ago
- pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/☆28Updated last month