thickstun2018invariances
Music transcription experiments
This collection of Jupyter notebooks presents experiments on invariances and data augmentation for supervised music transcription.
Experiments for Invariances and Data Augmentation for Supervised Music Transcription
31 stars
6 watching
4 forks
Language: Jupyter Notebook
last commit: over 4 years ago Related projects:
Repository | Description | Stars |
---|---|---|
chrisdonahue/sheetsage | Transcribes music into lead sheets using machine learning and audio analysis | 311 |
music-and-culture-technology-lab/omnizart | Automates music transcription of various audio elements, including instruments, vocals, and drums. | 1,637 |
tuwien-musicir/dl_mir_tutorial | An interactive tutorial on using Deep Learning algorithms to analyze and retrieve music information | 50 |
jordipons/eusipco2017 | Research code for music auto-tagging using deep learning and feature extraction | 23 |
jsrmath/sharp11 | A JavaScript music theory library with tools for transposition, interval calculation, chord parsing and identification | 337 |
thoth-station/jupyter-nbrequirements | This tool helps manage and optimize dependencies in Jupyter Notebooks. | 20 |
keunwoochoi/transfer_learning_music | A repository providing tools and pre-trained models for music classification and regression tasks using transfer learning. | 256 |
maitbayev/the-elements-of-statistical-learning | Notes and code implementation of statistical learning concepts from a textbook | 404 |
pencilcode/musical.js | A sequencing WebAudio synthesizer library supporting ABC notation | 103 |
tylere/ee-jupyter-examples | A collection of Jupyter Notebook examples showcasing the use of the Earth Engine Python API | 87 |
keunwoochoi/dl4mir | A tutorial repository providing examples and tools for applying deep learning to music information retrieval tasks | 240 |
allendowney/thinkpython | Jupyter notebooks and accompanying resources for teaching computer science fundamentals | 1,298 |
despoisj/deepaudioclassification | Automatically categorizes music genres using deep learning algorithms | 1,097 |
gnzsnz/jupyter-quant | A Dockerized environment for quantitative research and analysis using Jupyter Notebook | 8 |
keunwoochoi/icassp_2017 | A repository containing code and pre-trained models for music classification using Convolutional Recurrent Neural Networks. | 12 |