SincNet
DeepNeuralNetworksFromScratch
| SincNet | DeepNeuralNetworksFromScratch | |
|---|---|---|
| 3 | 1 | |
| 1,097 | 8 | |
| - | - | |
| 0.0 | 0.0 | |
| about 3 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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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
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[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
DeepNeuralNetworksFromScratch
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Yet Another Deep Neural Network Library From Scratch Library (pure NumPy and Numba)
Deep Neural Networks From Scratch
What are some alternatives?
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.
speechbrain - A PyTorch-based Speech Toolkit
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
dl-4-tsc - Deep Learning for Time Series Classification
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.
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
ruptures - ruptures: change point detection in Python
Convolution-From-Scratch - Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy
UHV-OTS-Speech - A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
pyradox - State of the Art Neural Networks for Deep Learning