45 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Molecular Processing Made Easy. | 60K | |
| Counterfactual generation with STONED SELFIES | 19K | |
| DECIMER Image Transformer is a deep-learning-based tool designed for automated r... | 7K | |
| A deep learning toolkit for mass spectrometry | 4K | |
| Sandbox for Computational Protein Design | 2K | |
| Generalized fingerprint embedding library | 1K | |
| pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.githu... | 1K | |
| Various utilities used throughout my research | 1K | |
| A Python Package used for CoRE MOF Database | 1K | |
| Refined and extended version of ChemTS | 1K | |
| Deep learning for molecules and materials book | 919 | |
| A web-based UI to host ChemBFN generative models and visualise the generated mol... | 886 | |
| Organizing and processing tables of chemical structures. | 805 | |
| Lightweight SMILES randomization using SELFIES-based molecular graph traversal. | 796 | |
| Extended cheminformatics toolkit: median molecules, chemical subspace enumeratio... | 774 | |
| Benchmark for molecular active learning. | 754 | |
| Peptide <-> SMILES utilities for monomer peptides with non-canonical residues, t... | 721 | |
| MassSpecGym: A benchmark for the discovery and identification of molecules | 561 | |
| Generative Flow-Based Deep Learning for De Novo Peptide Sequencing | 521 | |
| Deep learning tools and models for MALDI-TOF mass spectra analysis | 512 | |
| Python tools for protein design | 394 | |
| Transformer deep learning model for de novo sequencing of data-independent acqui... | 330 | |
| Chempleter is a lightweight generative model to predict syntactically valid exte... | 322 | |
| 276 | ||
| coreason-prism | 264 | |
| Use GPT-3 to solve chemistry problems | 254 | |
| CRAFT: Consistent Representational Fusion of Three Molecular Modalities. | 243 | |
| Repository for SMILES-based RNNs for reinforcement learning-based de novo molecu... | 236 | |
| Transformer-based de novo peptide sequencing for data-independent acquisition ma... | 224 | |
| https://pypi.org/project/drugs/ | 223 | |
| A library of discrete objectives | 222 | |
| DiffNovo: A Transformer-Diffusion Model for De Novo Peptide Sequencing | 208 | |
| Transformer-based de novo peptide sequencing for data-independent acquisition ma... | 191 | |
| A python package for the paper: MolGen-Transformer: A molecule language model fo... | 185 | |
| Cheminformatics tools for astrochemistry | 170 | |
| Variational AutoEncoder for learning embeddings of molecules in a chemistry-awar... | 142 | |
| Transformer-diffusion de novo peptide sequencing for data-independent acquisitio... | 139 | |
| A k-deep ensemble model to predict solubility | 124 | |
| The gzip classification method implemented for molecule classification. | 117 | |
| poli, a library of discrete objective functions | 80 | |
| API for parsing, database connection, and property calculations for D3taLES proj... | 75 | |
| A molecular intermediate generator for relative binding free energy calculations | 73 | |
| A python utility for rendering 2D molecular graph images given a string represen... | 59 | |
| A k-deep ensemble model to predict solubility | 55 | |
| A package for polymer graph-based property prediction and generative design. | 1 |