| f90/Wave-U-Net |
574 |
|
0 |
0 |
about 4 years ago |
0 |
|
6 |
mit |
Python |
| Implementation of the Wave-U-Net for audio source separation |
| ternaus/robot-surgery-segmentation |
475 |
|
0 |
0 |
almost 7 years ago |
0 |
|
11 |
mit |
Jupyter Notebook |
| Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge |
| MTG/DeepConvSep |
397 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
agpl-3.0 |
Python |
| Deep Convolutional Neural Networks for Musical Source Separation |
| francesclluis/source-separation-wavenet |
160 |
|
0 |
0 |
about 6 years ago |
0 |
|
4 |
mit |
Python |
| A neural network for end-to-end music source separation |
| mosheman5/timbre_painting |
77 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
Python |
| Hierarchical fast and high-fidelity audio generation |
| gabolsgabs/cunet |
20 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
other |
Python |
| Control mechanisms to the U-Net architecture for doing multiple source separation instruments |
| GuitarsAI/BasicsMusicalInstrumClassifi |
16 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Basics of Musical Instruments Classification using Machine Learning |
| bzamecnik/deep-instrument-heroku |
12 |
|
0 |
0 |
over 9 years ago |
0 |
|
3 |
mit |
Python |
| ML model to classify music instruments from audio - Heroku deployment. |
| v7labs/covid-19-xray-dataset |
11 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
|
| Manually drawn lung segmentations, with and without covid |
| Deep-Learning-Spring-2018/Recognition-of-Instruments |
5 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
Python |
| Deep Learning for classification of instruments |
