🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
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🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Official git repository for Biopython (originally converted from CVS)
Official repository for the Boltz biomolecular interaction models
C++ implementation of the Python Numpy library
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Chai-1, SOTA model for biomolecular structure prediction
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
A coupling library and ecosystem for partitioned multi-physics and multi-scale simulations, including surface and volume coupling.
Throw in the towel.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A Euclidean diffusion model for structure-based drug design.
One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
ChEMBL database structure pipelines
Open Parser for Systematic IUPAC Nomenclature. Chemical name to structure conversion
A library of abstract interfaces for mathematical structures in Coq [maintainer=@spitters,@Lysxia]
LLM for Drug Editing, ICLR 2024
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Chemical 2D structure editor application/applet based on the Chemistry Development Kit
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
An Erlang implementation of the R*-tree spacial data structure
R COBOL DI (Data Integration) Package : Import COBOL CopyBook data files directly into R as properly structured data frames.
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Simple, reliable .NET libraries covering numbers, geometry and data structures
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.