Cesare Campagnano's Projects
Code for the paper: Multi-level Attention Model for Weakly Supervised Audio Classification. The aim of this project is to classify audio samples using a multiple attention mechanism
https://caesar.one website source code!
Code for the paper "Jukebox: A Generative Model for Music"
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RateNinja: A Python package for efficient and rate-limited API calling with multithreading and automatic retries support.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
PyTorch Lightning + Hydra + HuggingFace Transformers. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡