Pytorch-UNet
d2l-en
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| Pytorch-UNet | d2l-en | |
|---|---|---|
| 2 | 6 | |
| 8,265 | 21,564 | |
| - | 2.8% | |
| 3.9 | 8.7 | |
| 2 months ago | about 1 month ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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Pytorch-UNet
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Trying to find resources for "Image Segmentation using RL"
Probably mean something like unet: https://github.com/milesial/Pytorch-UNet
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How to add a pyramid pooling in UNet++?
Hi! I will give you some resources that might help you understand(I didnt implement a network but I can answer more questions about how you can train it). 1 This link gives you a broad explanation about UNet. 2 This is a link to a UNet used for binary segmentation. 3 This is a step by step guide. The UNet++ that I posted is good for multiclass segmentation. If you need more advice feel free to reply. Good luck!
d2l-en
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How to pre-train BERT on different objective tasks using HuggingFace
There might is bert library for pre-train bert model in huggingface, But I suggestion that you train bert model in native pytorch to understand detail, Limu's course is recommended for you
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I created a way to learn machine learning through Jupyter
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
What are some alternatives?
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
unet-nested-multiple-classification - This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
muzero-general - MuZero
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects