jbr-ai-labs / lipophilicity-predictionLinks
Code for "Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation" paper. Machine Learning for Molecules Workshop @ NeurIPS 2020
☆31Updated 3 years ago
Alternatives and similar repositories for lipophilicity-prediction
Users that are interested in lipophilicity-prediction are comparing it to the libraries listed below
Sorting:
- Supporting code for the paper «Generative molecular design in low data regimes»☆64Updated 4 years ago
- Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual scree…☆123Updated 4 years ago
- maxsmi: a guide to SMILES augmentation. Find the optimal SMILES augmentation for accurate molecular prediction.☆33Updated last year
- Fragment-based generative RL with Explorative Experience replay for Drug design (FREED)☆55Updated 3 years ago
- MoleculeNet benchmark dataset & MolMapNet dataset☆63Updated 3 years ago
- Code for the paper "A Deep Generative Model for Fragment-Based Molecule Generation" (AISTATS 2020)☆67Updated 2 years ago
- ☆92Updated 2 years ago
- 🔥 PyTorch implementation of GNINA scoring function for molecular docking☆69Updated 5 months ago
- Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "☆53Updated 2 years ago
- Implementation of the method proposed in the paper "Efficient Multi-Objective Molecular Optimization in a Continuous Latent Space" by Rob…☆79Updated 4 years ago
- An implementation of the Latent Gan as discribed in the publication [cite]☆63Updated 4 years ago
- A SMILES-based encoder-decoder architecture for molecular scaffold decoration☆81Updated 5 years ago
- ☆28Updated 2 years ago
- Molecular vectorization and batch generation☆50Updated 4 years ago
- ☆67Updated 3 years ago
- ☆28Updated 2 years ago
- Three-dimensional force fields fingerprints☆28Updated 3 years ago
- Code accompanying the paper "Deep reinforcement learning for multiparameter optimization in de novo drug design"☆70Updated 4 years ago
- A novel hybrid method for generating molecules with desired property scores.☆42Updated 3 years ago
- Utilities for working with SMILES based encodings of molecules for deep learning (PyTorch oriented)☆81Updated last year
- Pretrained SMILES transformation model for finetuning for diverse molecular tasks.☆48Updated 3 years ago
- Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)☆22Updated 3 years ago
- Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch☆24Updated 9 months ago
- Baselines models for GuacaMol benchmarks☆141Updated last year
- Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)☆79Updated 2 years ago
- ☆28Updated 2 years ago
- pythonic interface to virtual screening software☆89Updated 2 years ago
- ☆21Updated last year
- graph generative model for molecule☆39Updated 5 years ago
- ☆161Updated last year