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The CIANNA framework creates and trains deep-learning models for astronomical data analysis. Functionalities and optimizations are added based on relevance to astrophysical problem-solving. CIANNA builds and trains a wide variety of neural network architectures for various tasks through a high-level Python interface. It supports both computing on CPU and GPU acceleration through low-level CUDA programming, taking advantage of AI-dedicated hardware substructures. CIANNA distinguishes itself by its low latency, allowing tight integration with other codes.