Collection of self-contained header-only libraries for C++17
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GraphDTA: Predicting drug-target binding affinity with graph neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
- protein-ligand-interactions
- convolutional-neural-networks
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
- imaging
- ai
- cloud-computing
- medical-imaging
RNA-seq prediction with deep convolutional neural networks.
Allocators, I/O streams, math, geometry, image and audio processing for D
- utility-library
- dlang
- linear-algebra
- computational-geometry
a unified framework for modeling chemically reactive systems
- chemical-equilibrium
- chemical-kinetics
- reactive-transport
- chemical-reactions
Umbrella package of the 'spatstat' family................
- r
- spatial-analysis
- spatial-data
- spatstat
Medical LLM agent and MRI segmentation workspace built on PharmaLLM, with LangGraph, vLLM, and BEU-Net.
A Network Integration Approach for Drug-Target Interaction Prediction
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
- generative-adversarial-network
- mri-reconstruction
- computer-vision
- deep-learning
PhyloNetworks: a julia package with utilities for phylogenetic networks
The V Tensor Library
- v
- hacktoberfest
- autograd
- deep-learning
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising
A framework for high-performance domain decomposition methods.
- c-plus-plus
- linear-algebra
- python
- fortran
The source code for the Menge crowd simulation framework
Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
Easy link prediction tool
- python
- network-analysis
- link-prediction
- research
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
The RAW JavaScript library to work with polynomials
- polynomials
- math
- javascript