SimCLR
SincNet
SimCLR | SincNet | |
---|---|---|
1 | 3 | |
2,131 | 1,097 | |
- | - | |
0.0 | 0.0 | |
2 months ago | about 3 years ago | |
Jupyter Notebook | Python | |
MIT License | MIT 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
SincNet
- Does this SincNet (neural architecture) contain a discriminator?
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TypeError: layer_norm(): argument 'input' (position 1) must be Tensor, not SincNet.
the sincnet class is taken from here: https://github.com/mravanelli/SincNet/blob/master/dnn_models.py
-
[R][P] Announcing audax, a audio ML/DL framework in Jax
Code for https://arxiv.org/abs/1808.00158 found: https://github.com/mravanelli/SincNet
What are some alternatives?
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
speechbrain - A PyTorch-based Speech Toolkit
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
video-super-resolution-youtube
Image-Forgery-Detection-CNN - Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.
audax - A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.
ruptures - ruptures: change point detection in Python
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
UHV-OTS-Speech - A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.