NST-AI-to-create-art
gan-vae-pretrained-pytorch
| NST-AI-to-create-art | gan-vae-pretrained-pytorch | |
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| 1 | 1 | |
| 2 | 162 | |
| - | - | |
| 5.5 | 0.0 | |
| about 2 years ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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NST-AI-to-create-art
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Since you were interested in my latest project, you can easily accesses it in ipython notebook through Kaggle cloud service link in comments, I encourage you to try it yourself even without much coding experience.
GitHub: https://github.com/MightyStud/NST-AI-to-create-art
gan-vae-pretrained-pytorch
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DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images?
I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.
What are some alternatives?
YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow - Identify Handwritten Digits using CNN with TensorFlow
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization
pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN