Colibrí

Computational Optics Learning Library

Colibri is a developing PyTorch library designed to solve computational imaging tasks by integrating optical systems and state-of-the-art deep neural networks. The goal of Colibri is to advance research in areas that combine optics and neural networks, providing a user-friendly platform for implementing and modifying these cutting-edge technologies. 🧠🔬

📍 Key Features:

• Ease of Use: Colibri simplifies the implementation of complex optical and neural network systems, making it accessible for both new and experienced researchers.
• Research Enhancement: Designed to boost research by providing tools and frameworks for innovative ideas that require the integration of optics and deep learning. 📈🔍
• State-of-the-Art Algorithms: Introduces researchers to the latest algorithms in a straightforward manner, facilitating the adoption and adaptation of advanced techniques. 🤖💡

Repository

📑 Documentation

The documentation is available at pycolibri.github.io/pycolibri.

💿 Installation

1. Clone the repository:

git clone https://github.com/pycolibri/pycolibri.git

2. Create a virtual environment with conda:

conda create -n colibri python=3.10
conda activate colibri

3. Install the requirements:

pip install -r requirements.txt

4. Enjoy! 😄