Re Balanced Vae
Code for our paper Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
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| Hierarchical Generation of Molecular Graphs using Structural Motifs | ||||||||||
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| Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020) | ||||||||||
| Molgen | 64 | 3 months ago | mit | Python | ||||||
| Code and pre-trained models for the paper "Domain-Agnostic Molecular Generation with Self-feedback." | ||||||||||
| Drugai | 56 | 5 years ago | Python | |||||||
| Generation and Classification of Drug Like molecule usings Neural Networks | ||||||||||
| Ga | 41 | 3 years ago | Python | |||||||
| Code for the paper: Augmenting genetic algorithms with deep neural networks for exploring the chemical space | ||||||||||
| Ligdream | 34 | 4 years ago | 2 | agpl-3.0 | Jupyter Notebook | |||||
| Novel molecules from a reference shape! | ||||||||||
| Molecule_structure_generation | 15 | 3 years ago | Jupyter Notebook | |||||||
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Vae