xrays-and-gradcam
gan-vae-pretrained-pytorch
| xrays-and-gradcam | gan-vae-pretrained-pytorch | |
|---|---|---|
| 3 | 1 | |
| 47 | 170 | |
| - | - | |
| 0.0 | 0.0 | |
| about 3 years ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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xrays-and-gradcam
- Diagnose COVID-19 from X-Rays with AI
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Classification and Gradient-based Localization of Chest Radiographs
Github Repository: https://github.com/priyavrat-misra/xrays-and-gradcam
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[D] The future of open-source AI
I did this project a while back, which follows an alternate and quicker approach for COVID-19 diagnosis than RT-PCR. Recently, DRDO's Centre for Artificial Intelligence and Robotics (CAIR) developed a tool following the same approach (source).
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?
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!
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
COVID-CT - COVID-CT-Dataset: A CT Scan Dataset about COVID-19
adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
BLOOM-fine-tuning - Finetune BLOOM
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.