Precision Medicine Knowledge Graph (PrimeKG)
- knowledge-graph
- precision-medicine
- therapeutics
- bioinformatics
47,133 repositories indexed
73–96 of 255 · Most stars
Precision Medicine Knowledge Graph (PrimeKG)
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
Qhull development for www.qhull.org -- Qhull 2020.2 (8.1-alpha1) at https://github.com/qhull/qhull/wiki
3D medical imaging reconstruction software
Python package for graph neural networks in chemistry and biology
Pathology Foundation Model - Nature Medicine
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
An open library for the analysis of molecular dynamics trajectories
A C implementation for creating 2D Voronoi/Delauney diagrams
A Go package for engineering organisms.
Generation of protein sequences and evolutionary alignments via discrete diffusion models
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
FiPy is a Finite Volume PDE solver written in Python
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Numerical linear algebra software package
DiffSharp: Differentiable Functional Programming
Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.