RECOVERcoalition / RecoverLinks
Exploring the space of drug combinations to discover synergistic drugs using Active Learning
☆24Updated last year
Alternatives and similar repositories for Recover
Users that are interested in Recover are comparing it to the libraries listed below
Sorting:
- Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks☆28Updated 3 months ago
- GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.☆40Updated 2 years ago
- Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)☆72Updated last year
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆18Updated 4 years ago
- Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions☆24Updated 2 years ago
- The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.☆24Updated 3 years ago
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆96Updated 3 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- ☆45Updated 2 months ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated last year
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆29Updated 2 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- A Modular Architecture for Deep Learning Systems☆43Updated 3 months ago
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆17Updated 3 years ago
- DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning☆119Updated last year
- Coherent Deconfounding Autoencoder (CODE-AE) can extract both common biological signals shared by incoherent samples and private represen…☆17Updated 10 months ago
- RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Ma…☆99Updated 2 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 9 months ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- Code for the paper LaM-SLidE - Latent Space Modeling of Spatial Dynamical Systems via Linked Entities☆25Updated 3 months ago
- The code for "Learning Molecular Representation in a Cell"☆37Updated 5 months ago
- code for Gogleva et al manuscript☆45Updated 2 years ago
- ☆29Updated 2 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆80Updated 3 years ago
- ☆81Updated last year
- Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"☆39Updated 8 months ago
- LC-PLM: long-context protein language model based on BiMamba-S architecture☆21Updated 7 months ago
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆58Updated 4 years ago
- Geometric Deep Learning @ University of Cambridge☆25Updated 5 months ago
- ☆36Updated 10 months ago