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A Python package for time series classification
Arduino Audio Tools (a powerful Audio library not only for Arduino)
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
An audio effects library for the Web Audio API.
AudioLDM training, finetuning, evaluation and inference.
A PyTorch Library for Meta-learning Research
A new comprehensive and diverse few-shot acoustic classification benchmark.
Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.
Official implementation of "AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space models", presented in LAMIR 2024 Workshop
Deep Learning for Time Series Classification
InspireMusic: A Unified Framework for Music, Song, Audio Generation.
Fully Convlutional Neural Networks for state-of-the-art time series classification
A full collection of Music Informatic Retrieval (MIR) and AI Music labs.
Efficient Training of Audio Transformers with Patchout
A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Music Machine Learning course for the ATIAM Masters
Python package to make documents look like they were scanned
Repository companion to the paper : Lellouch & al. Sound source localization in a natural soundscape with autonomous recorder units based on a new time-difference-of-arrival algorithm
All Algorithms implemented in Python
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚