CLMR
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Official PyTorch implementation of Contrastive Learning of Musical Representations
Can you tell me more details about t-sne visualization?I reproduced your program on the magnatagatune dataset and got PR-AUC of 0.3496 and ROC-AUC of 0.886. I noticed that you used...
Hi When I do linear evaluation: Traceback (most recent call last): File "linear_evaluation.py", line 149, in trainer.fit(module, train_loader, valid_loader) File "/data1/anaconda3/envs/CLMR/lib/python3.6/site-packages/pytorch_lightning/trainer/trainer.py", line 741, in fit self._fit_impl, model, train_dataloaders, val_dataloaders, datamodule,...
Nice to see contrastive learning used in music area, is there any length limit? Is it possible to get meaningful representation (for example, hundreds dimension vector) of song (few minutes...
Hi, Thanks for releasing this nice repository! Do you plan on releasing the weights for the linear classifier trained on the million song dataset too? I would be very happy...
Hi, When I followed [these steps](https://github.com/Spijkervet/CLMR#pre-train-on-your-own-folder-of-audio-files) to test pre-trained model, I got this error: ``` (clmr) yunusemre.ozkose@server:/CLMR$ python main.py --dataset audio --dataset_dir /path/to/test_audio_dataset_dir Global seed set to 42 Traceback (most...
Where can I get the dataset?
Hello, thank you very much for your wonderful GitHub repository. 😊 I tried to train the code in the repository using the Million Song Dataset, but it prompted me with...
Hi! Thank you for releasing this repo :) I was wondering where I can find the train/test/validation splits you used for MSD? My team and I are trying to reproduce...
This is within `clmr.modules.linear_evaluation.LinearEvaluation` Addresses #24
When running the `LinearEvaluation` module I get the following error: ```python3 TypeError: Accuracy.__new__() missing 1 required positional argument: 'task' ``` and similar when calling `torchmetrics.AveragePrecision` without the `task` argument Proposed...