AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
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AI-based pathology predicts origins for cancers of unknown primary - Nature
A simple cross platform .NET API for Intel MKL
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
Dlang Core Library
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
Go package for calculating the sunrise and sunset times for a given location
Simple Features is a pure Go Implementation of the OpenGIS Simple Feature Access Specification
A Geometry library for Elixir that calculates spatial relationships between two geometries
The V Tensor Library
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
An ESP32 and 4.2" ePaper Display reads Dark Sky weather API and displays the weather using ESP-IDF
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
A library of abstract interfaces for mathematical structures in Coq [maintainer=@spitters,@Lysxia]
A dataset, API, and parser for USDA plant hardiness zones.
🏃 The go-to single-cell Foundation Model
LLM for Drug Editing, ICLR 2024
Scientific computing in pure Crystal
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
A framework for high-performance domain decomposition methods.
Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
The Next Generation Logic Library
Optimising chemical reactions using machine learning