ganbert-pytorch
ganspace
ganbert-pytorch | ganspace | |
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1 | 3 | |
88 | 1,766 | |
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0.0 | 0.0 | |
over 2 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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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):
ganspace
- Enforcing AE (and/or VAE) latent vector parameters to learn specific features?
- [P][OC] 3 years ago, we made the music video Jean-Pierre using neural style transfert, optical flow, and Deep dream. Today we release "Inbreed For Thalassa", with auto-morphing, using Generative Adversarial Network, deep-dreaming and glitchs.
- [D] Generating faces with different angles
What are some alternatives?
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
huggingpics - 🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
ru-dalle - Generate images from texts. In Russian
Pseudo-Labelling - Pseudo Labelling on MNIST dataset in Tensorflow 2.x
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
multi-label-sentiment-classifier - How to build a multi-label sentiment classifiers with Tez and PyTorch
PTI - Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744
Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).