Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
47,133 repositories indexed
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Vision-Language Pathology Foundation Model - Nature Medicine
A Euclidean diffusion model for structure-based drug design.
U-Net Brain Tumor Segmentation
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
A tool for semi-automatic cell type classification
A Python native dynamical system simulation framework in the block diagram paradigm.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
open source software for bidimensional and tridimensional remeshing
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Graph-linked unified embedding for single-cell multi-omics data integration
Official repository for the ProteinGym benchmarks
Python version of the SGP4 satellite position library
Sequential regulatory activity predictions with deep convolutional neural networks.
Arbitrary precision decimal arithmetic
Advanced date, time and interval library for Java with sun/moon-astronomy and calendars like Chinese, Coptic, Ethiopian, French Republican, Hebrew, Hijri, Historic Christian, Indian National, Japanese, Julian, Korean, Minguo, Persian, Thai, Vietnamese
Tools for computational pathology
Simulation for spacecraft attitude control system analysis and design
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
A C++14-compatible physical units library with no dependencies and a single-file delivery option. Emphasis on safety, accessibility, performance, and developer experience.
C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.
A High-Level Abstraction Framework for Quantum Algorithms
A thin layer of graphic data types
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.