KacperKubara / ml-cookbookLinks
Machine learning notebooks and code used for demonstration purposes
☆24Updated 4 years ago
Alternatives and similar repositories for ml-cookbook
Users that are interested in ml-cookbook are comparing it to the libraries listed below
Sorting:
- Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity☆29Updated 4 years ago
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 4 years ago
- ☆98Updated 5 years ago
- code for Zagidullin et al 2021 "Comparative analysis of molecular fingerprints in prediction of drug combination effects"☆16Updated 2 years ago
- ☆61Updated 6 years ago
- Python package is for paper 'Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data…☆36Updated 8 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆54Updated 6 years ago
- DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)☆26Updated 4 years ago
- Mol2vec notebooks for use with Binder service☆29Updated 7 years ago
- Hierarchical Embedding for Drugs☆16Updated last year
- Source codes for 'A baseline for reliable molecular prediction models via Bayesian learning'☆28Updated 4 years ago
- Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders☆53Updated 4 years ago
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)☆26Updated 4 years ago
- AAAI 2020: Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-like Molecules☆35Updated 3 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated 2 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 2 years ago
- Code for "Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation" paper. Machine Learning for Molecu…☆32Updated 3 years ago
- Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch☆23Updated 7 months ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- MoleculeNet benchmark dataset & MolMapNet dataset☆63Updated 3 years ago
- Implementation of GEFA: Early Fusion Approach in Drug-Target Affinity Prediction☆21Updated 4 years ago
- Bayesian MPNNs for Molecular Property Prediction☆27Updated 4 years ago
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆95Updated 2 years ago
- Implementation of ReSimNet for drug response similarity prediction☆40Updated last year
- Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "☆53Updated last year
- A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines☆17Updated 2 years ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- DeepDrug: A general graph-based deep learning framework for drug relation prediction☆60Updated 2 years ago