DeepTrackAI is an open-source organization dedicated to advancing deep learning tools for microscopy and related fields. Our mission is to provide researchers and developers with robust, flexible, and user-friendly software solutions to facilitate quantitative digital microscopy.
A collection of Jupyter notebooks aimed at providing a comprehensive introduction to deep learning concepts and applications, with a focus on practical implementation.
An extension of PyTorch that enhances modularity and reusability in deep learning projects. deeplay addresses common challenges in PyTorch development by providing a system that allows for easy customization and optimization of neural network components.
A Python library designed for the simulation and analysis of microscopy images using deep learning techniques. It offers a comprehensive suite of tools for creating synthetic datasets and training neural networks for particle tracking and image analysis.
We welcome contributions from the community! Whether you're interested in developing new features, fixing bugs, or improving documentation, your help is appreciated. Please refer to the contribution guidelines in each repository for more information.
For inquiries or further information, please open an issue in the relevant repository or contact the project maintainers directly.
