Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
- nisq
- quantum-algorithms
- quantum-computing
- cirq
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Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Biological foundation modeling from molecular to genome scale
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
A coupling library and ecosystem for partitioned multi-physics and multi-scale simulations, including surface and volume coupling.
A header-only C++ library for large scale eigenvalue problems
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
CEED Library: Code for Efficient Extensible Discretizations
Practical volume computation and sampling in high dimensions
BulkFormer: A large-scale foundation model for human bulk transcriptomes
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Utility library to pretty print physical values in proper metric units