Pytorch-UNet
d2l-en
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| Pytorch-UNet | d2l-en | |
|---|---|---|
| 2 | 6 | |
| 8,358 | 21,628 | |
| - | 3.1% | |
| 3.9 | 8.7 | |
| 3 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
- which book to chose for deep learning :lan Goodfellow or francois chollet
- d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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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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The Transformer in Machine Translation
GitHub's article on Dive into Deep Learning
- D2l-En
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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.
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
unet-nested-multiple-classification - This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)