SimCLR
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SimCLR | ast | |
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1 | 1 | |
2,131 | 1,017 | |
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0.0 | 2.3 | |
2 months ago | 12 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | BSD 3-clause "New" or "Revised" License |
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SimCLR
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[R][P] Announcing audax, a audio ML/DL framework in Jax
Code for https://arxiv.org/abs/2002.05709 found: https://github.com/sthalles/SimCLR
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Increasing Model Dimensionality
Unless this is purely an educational exercise, just finetune an imagenet model, or better yet a model trained on spectrograms (cochleagrams if you can find one).
What are some alternatives?
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
soxan - Wav2Vec for speech recognition, classification, and audio classification
pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
open-metric-learning - Library for metric learning pipelines and models.
video-super-resolution-youtube
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
audax - A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.