⚡ 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 collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
A tool for cell instance aware segmentation in densely packed 3D volumetric images
The repository host gives no description.
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Axon/Myelin segmentation using Deep Learning
Coq Repository at Nijmegen [maintainers=@spitters,@VincentSe,@Lysxia]
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
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
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Fast detection of repackaged Android applications based on the comparison of resource files included into the package.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
An open-source mathematical tire modelling library
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Zero-dependency 128-bit fixed-point decimal for Go. Exact SQL NUMERIC / PostgreSQL semantics, no heap allocation, no panics — built for money, ledgers and banking arithmetic.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Working with time-dependent networks in Julia
💬 Trace citation chains for any concept across research papers and render them as an interactive graph.
Updated infix.cl of the CMU AI repository, originally written by Mark Kantrowitz
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.