Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Open3D: A Modern Library for 3D Data Processing
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
QuadriFlow: A Scalable and Robust Method for Quadrangulation
- quadriflow
- quad
- remeshing
- quadrangulation
U-Net Brain Tumor Segmentation
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's
Bayesian Optimization using GPflow
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Accurate and efficient spot detection for microscopy data
⚡ Open-source software for deep learning-based digital pathology
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
Learning cell communication from spatial graphs of cells
C# math expression library with symbolic computation support
- csharp
- dotnet
- expression-parser
- math
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.