This repository contains an end-to-end pipeline to train a convolutional neural network (CNN) for environmental sound classification on ESC-50. Serve the model for inference using Modal + a FastAPI endpoint. - Visualize model outputs (top predictions, input mel-spectrogram, waveform, and CNN feature maps).
deep-learning modal pytorch resnet convolutional-neural-networks audio-classification audio-processing model-deployment sound-classification feature-visualization mlops esc-50 spectograms fastapi streamlit
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Updated
Dec 24, 2025 - Python