BoHuangLab / Protein-Localization-TransformerLinks
Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction
☆28Updated 2 years ago
Alternatives and similar repositories for Protein-Localization-Transformer
Users that are interested in Protein-Localization-Transformer are comparing it to the libraries listed below
Sorting:
- PHP + My SQL☆22Updated 2 years ago
- Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)☆73Updated 2 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…☆98Updated 2 years ago
- Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax☆112Updated 4 years ago
- A repository with exploration into using transformers to predict DNA ↔ transcription factor binding☆87Updated 3 years ago
- Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10.1101/2021.08.02.454840v1☆37Updated 3 years ago
- DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning☆122Updated 2 years ago
- ☆34Updated 6 months ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆42Updated last year
- Open source code for AlphaFold to extract protein embeddings☆27Updated 4 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
- ☆19Updated 2 years ago
- ☆36Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆182Updated 2 years ago
- Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"☆160Updated 2 years ago
- A Modular Architecture for Deep Learning Systems☆47Updated 5 months ago
- Ledidi turns any machine learning model into a biological sequence editor, allowing you to design sequences with desired properties.☆95Updated 5 months ago
- Predicting protein structure through sequence modeling☆112Updated 5 years ago
- Repository for mRNA Paper and CodonBERT publication.☆134Updated last year
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆58Updated 3 years ago
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆96Updated 3 years ago
- Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch☆159Updated 2 years ago
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆74Updated 2 years ago
- Implementation of ProteinBERT in Pytorch☆162Updated 4 years ago
- [ICML 25] We train and evaluate SAEs to identify interpretable features in pLMs and show their potential for scientific discovery.☆120Updated last month
- My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…☆54Updated 2 years ago
- The project proposal template for OpenBioML community projects.☆18Updated 2 years ago
- ☆34Updated 5 years ago
- Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequ…☆89Updated 3 years ago
- Benchmarking DNA Language Models on Biologically Meaningful Tasks☆127Updated last year