automl / learnaLinks
End-to-end RNA Design using deep reinforcement learning
☆71Updated 3 years ago
Alternatives and similar repositories for learna
Users that are interested in learna are comparing it to the libraries listed below
Sorting:
- Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design☆83Updated 4 years ago
- Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders☆53Updated 5 years ago
- 🧬 ManyFold: An efficient and flexible library for training and validating protein folding models☆81Updated 3 years ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆77Updated 2 years ago
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆58Updated 3 years ago
- Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax☆113Updated 4 years ago
- ☆81Updated 2 years ago
- Energy-based models for atomic-resolution protein conformations☆101Updated 3 years ago
- PyTorch library of layers acting on protein representations☆119Updated last year
- Code pipeline for the PaccMann^RL in iScience: https://www.cell.com/iscience/fulltext/S2589-0042(21)00237-6☆33Updated 3 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆73Updated last year
- 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
- Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10.1101/2021.08.02.454840v1☆37Updated 3 years ago
- A Modular Architecture for Deep Learning Systems☆50Updated 7 months ago
- GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.☆40Updated 2 years ago
- Predicting protein structure through sequence modeling☆112Updated 5 years ago
- Implementation of "Generative Modeling for Protein Structures" by Namrata Anand and Po-Ssu Huang☆19Updated 4 years ago
- pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"☆120Updated last year
- ☆34Updated 4 years ago
- PyTorch implementation for our paper "Proximal Exploration for Model-guided Protein Sequence Design"☆37Updated 2 years ago
- pytorch implementation of trDesign☆45Updated 4 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆76Updated 4 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆121Updated 4 years ago
- A protein 3D structure prediction application☆67Updated 4 years ago
- Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"☆39Updated last year
- DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning☆125Updated 2 years ago
- A Deep-learning based dOcking decoy eValuation mEthod☆57Updated 2 years ago
- ☆34Updated 5 years ago
- ML-guided enzyme engineering☆73Updated 3 months ago
- Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design☆18Updated last year