1.RosettaCommons / RFD4-Proteina
Generative biopolymer design with rich conditioning.
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49 repositories by Attention Score · Oct 6, 2026 – Nov 4, 2026 (UTC)
Generative biopolymer design with rich conditioning.
High-performance C++ library for multiphysics and multibody dynamics simulations
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Module for statistical learning, with a particular emphasis on time-dependent modelling
A set of documented functions for simulating the performance of photovoltaic energy systems.
Lightweight, general, scalable C++ library for finite element methods
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Deep probabilistic analysis of single-cell and spatial omics data
Manipulation and analysis of geometric objects
QuTiP: Quantum Toolbox in Python
Spatial Single Cell Analysis in Python
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
ArrayFire: a general purpose GPU library.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
C++ tensors with broadcasting and lazy computing
Numerical linear algebra software package
An axiom-free formalization of category theory in Coq for personal study and practical work
a molecular descriptor calculator
Parsers and algorithms for computational chemistry logfiles
An efficient C++20 GPU numerical computing library with Python-like syntax
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Repository for Nicheformer: a foundation model for single-cell and spatial omics
Fork of https://gitlab.mpcdf.mpg.de/mtr/pocketfft to simplify external contributions
Accurate and efficient spot detection for microscopy data
Sequential model-based optimization with a `scipy.optimize` interface
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Reference mapping for single-cell genomics
A Python interface to access neuroanatomical atlases
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
RNA Velocity generalized through dynamical modeling
Automated 3D cell detection in very large images
Automated 3D brain registration with support for multiple species and atlases.
Python package for image-based profiling
A collection of GICP-based fast point cloud registration algorithms
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
Solve automatic numerical differentiation problems in one or more variables.
D3 plugin which computes a treemap based on a Voronoi tesselation
A high-performance, high precision, zero allocation fixed-point decimal library for financial applications
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics