unet-nested-multiple-classification
Speech-enhancement
unet-nested-multiple-classification | Speech-enhancement | |
---|---|---|
1 | 2 | |
150 | 592 | |
- | - | |
0.0 | 0.0 | |
about 4 years ago | 7 months ago | |
Python | Python | |
- | MIT License |
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unet-nested-multiple-classification
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How to add a pyramid pooling in UNet++?
[1]: https://github.com/zonasw/unet-nested-multiple-classification/tree/bc90326f193974a5f91bd074498d984c4f0217ad
Speech-enhancement
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Help with speech enhancement
Hi iam very new to deep learning and starting to experiment and learn So I wanted to denoise and enhance some speech files After going through alot of repos this one was the best https://github.com/vbelz/Speech-enhancement I installed all the dependencys (it was a hell) I had my data ready I started a test (10 epochs) and it was done But when I wanted to test it it says there is no json file and there isn't any! I read the code and and there is no function to make a json file its really confusing And iam pissed af all of the deep learning projects in github have near to no documentation even of how to use per traind models and finding a one that's has even the traing feature is a luxury and like the one that iam useing because the repos aren't updated from the last century they don't work
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Analog tape audio recovery
I am working on a machine learning rig with 2 gtx 980ti that learn the english language and results are getting better. https://github.com/vbelz/Speech-enhancement since I train a lot more datasets it took a few weeks.
What are some alternatives?
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
MockingBird - 🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
deepdiff - DeepDiff: Deep Difference and search of any Python object/data. DeepHash: Hash of any object based on its contents. Delta: Use deltas to reconstruct objects by adding deltas together.
uformer-pytorch - Implementation of Uformer, Attention-based Unet, in Pytorch
scalpl - A lightweight wrapper to operate on nested dictionaries seamlessly. 👌
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
nested-multipart-parser - Parser for nested data for 'multipart/form'