⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
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⚡ Open-source software for deep learning-based digital pathology
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Axon/Myelin segmentation using Deep Learning
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
A platform independent tensor library with autograd for the JVM
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
A Python toolkit for quantum neural networks.
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"
Workbench for practical machine learning in Ruby.
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.