splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
BSD-3-CLAUSE License
Model interpretability and understanding for PyTorch
Data manipulation and transformation for signal processing, powered by PyTorch
Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Exploration of Self-Semi-Supervised learning for handling unlabeled data
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemen...
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient dat...
An extension of Open3D to address 3D Machine Learning tasks
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
Unofficial PyTorch implementation of Google AI's VoiceFilter system
End-to-End Speech Processing Toolkit
Kaggle | 1st place solution for Freesound Audio Tagging 2019
Using multi-task learning to capture signals simultaneously from the fovea efficiently and the ne...
Deep Semi-Supervised Learning with Holistic methods for audio classification.
[CVPR2020] Adversarial Latent Autoencoders