gan-vae-pretrained-pytorch
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
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| gan-vae-pretrained-pytorch | Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | |
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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.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
What are some alternatives?
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
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!
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
NYU-DLSP20 - NYU Deep Learning Spring 2020