ganbert-pytorch
PTI
| ganbert-pytorch | PTI | |
|---|---|---|
| 1 | 4 | |
| 88 | 881 | |
| - | - | |
| 0.0 | 2.7 | |
| over 2 years ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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ganbert-pytorch
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GAN-BERT to resolve class imbalance; error in the / my code. Any ideas how to resolve this?
I'm sorry to ask such an oddly specific question. I am following Danilo Croce's git page for implementing GAN-BERT with PyTorch & Transformers: Link. The training gets all the way to the end of the first epoch, but before it completes, sends out an error in the last batch (e.g. it occurs on batch 1,275 of 1,275):
PTI
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NEW just released AI DragGAN is MIND-BLOWING! Revolutionary way to edit images.
you can do it by yourself with specific tool https://github.com/danielroich/PTI. Autor of repository even made Google Colab notebook.
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So Draggan code is finally released
from Dragan readme: This GUI supports editing GAN-generated images. To edit a real image, you need to first perform GAN inversion using tools like PTI. Then load the new latent code and model weights to the GUI.
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[D] New SOTA StyleGAN2 inversion paper explained in 5 minutes: Pivotal Tuning for Latent-based Editing of Real Images (PTI) by Daniel Roich et al.
[Full Explanation Post] [Arxiv] [Code]
- [R] Finally, Actual Real images editing using StyleGAN
What are some alternatives?
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
DragGAN - Official Code for DragGAN (SIGGRAPH 2023)
huggingpics - 🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Pseudo-Labelling - Pseudo Labelling on MNIST dataset in Tensorflow 2.x
Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
multi-label-sentiment-classifier - How to build a multi-label sentiment classifiers with Tez and PyTorch
sd-webui-dragGAN-extension - extension of stable diffusion webui for dragGAN