uformer-pytorch
Speech-enhancement
uformer-pytorch | Speech-enhancement | |
---|---|---|
1 | 2 | |
91 | 592 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | 7 months ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
uformer-pytorch
-
[D] How to integrate ViT into U-Net using this library?
just use https://github.com/lucidrains/uformer-pytorch
Speech-enhancement
-
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
-
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?
mixture-of-experts - A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers
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
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Mask-RCNN-TF2.7.0-keras2.7.0 - Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0
unet-nested-multiple-classification - This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.