An open-source machine learning framework developed by Google. We use TensorFlow for training deep learning models and creating neural networks.
A machine learning library for Python. We use Scikit-Learn for various machine learning tasks such as classification, regression, clustering, and model selection.
An open-source machine learning library based on Torch. It's used for applications such as natural language processing and artificial neural networks
A user-friendly neural network library written in Python. We use Keras as an interface for the TensorFlow library, simplifying the process of creating and training complex deep learning models.
Our applications are supported by robust databases:
We use AWS for its wide range of services including compute power, database storage, and content delivery.
We use GCP for its powerful machine learning and AI services.
We use Azure for its integrated tools, services, and solutions to build, deploy, and manage applications.