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Working with molecular structures in pandas DataFrames
Created
2015-11-21
360 commits to main branch, last one 3 months ago
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Created
2021-10-26
36 commits to main branch, last one 2 years ago
Molecular Processing Made Easy.
Created
2021-02-23
1,462 commits to main branch, last one 5 months ago
Curses based ASCII molecule viewer for terminals.
Created
2020-09-03
79 commits to master branch, last one about a year ago
Tensorflow + Molecules = TensorMol
Created
2016-10-28
1,724 commits to master branch, last one 6 years ago
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
Created
2024-02-16
37 commits to main branch, last one 2 months ago
overview of datasets for ML in chemistry
Created
2023-02-10
81 commits to main branch, last one 11 months ago
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
Created
2022-06-01
4 commits to master branch, last one about a year ago
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Created
2021-09-13
6 commits to main branch, last one 2 years ago
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
Created
2022-10-29
171 commits to main branch, last one 5 days ago
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
Created
2019-05-29
78 commits to master branch, last one 3 years ago
ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.
Created
2019-12-10
280 commits to main branch, last one 2 years ago
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Created
2021-05-17
900 commits to master branch, last one 2 years ago
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
Created
2022-01-13
20 commits to main branch, last one 2 years ago
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Created
2023-06-07
9 commits to main branch, last one about a year ago
Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
Created
2020-07-17
3,099 commits to master branch, last one 6 months ago
Python macromolecular parsing (with .pdb/.cif/.mmtf parsing and production)
Created
2016-05-04
1,301 commits to master branch, last one 2 years ago
A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
Created
2022-06-24
124 commits to main branch, last one 8 days ago
Monte Carlo and Molecular Dynamics Simulation Package
Created
2017-02-25
1,194 commits to master branch, last one 4 months ago
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Created
2021-02-05
77 commits to main branch, last one about a year ago
Fair and transparent benchmark of machine-learned interatomic potentials (MLIPs), beyond basic error metrics
Created
2024-03-24
158 commits to main branch, last one 3 days ago
Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
Created
2021-12-11
15 commits to main branch, last one about a year ago
An enterprise react-native template application showcasing - Testing strategy, Global state management, middleware support, a network layer, component library integration, localization, navigation co...
Created
2019-10-03
206 commits to master branch, last one 2 months ago