transfer_learning_music
Music Classifier
A repository providing tools and pre-trained models for music classification and regression tasks using transfer learning.
Transfer learning for music classification and regression tasks
256 stars
13 watching
59 forks
Language: Jupyter Notebook
last commit: almost 7 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| A repository containing code and pre-trained models for music classification using Convolutional Recurrent Neural Networks. | 12 | |
| A tutorial on using deep learning techniques for music information retrieval tasks | 241 | |
| Automatically categorizes music genres using deep learning algorithms | 1,099 | |
| Classifies music genres based on audio features using a deep learning model | 68 | |
| An audio classification project using LSTMs to classify music genres | 298 | |
| Classify music genre from a 10-second sound stream using a neural network. | 565 | |
| Classifies music genres based on advanced neural models and cross-modal reprogramming techniques to improve performance in low-resource settings. | 15 | |
| Reconstructs audio features learned by convolutional neural networks into audible sounds | 42 | |
| An interactive tutorial on using Deep Learning algorithms to analyze and retrieve music information | 51 | |
| An audio classification system using a convolutional neural network to classify audio data | 160 | |
| A system for audio classification and detection using machine learning models | 4 | |
| A music emotion classification system based on convolutional neural networks using TensorFlow. | 10 | |
| Develops an attention-based trash classification model using transfer learning and feature learning with attention module for effective waste management. | 39 | |
| Develops machine learning models to classify guitar gestures and finger chord positions | 6 | |
| This collection of Jupyter notebooks presents experiments on invariances and data augmentation for supervised music transcription. | 31 |