Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
gan-vae-pretrained-pytorch
| Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | gan-vae-pretrained-pytorch | |
|---|---|---|
| 8 | 1 | |
| 57 | 162 | |
| - | - | |
| 3.6 | 0.0 | |
| about 3 years ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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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)
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?
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.
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
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!
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
NYU-DLSP20 - NYU Deep Learning Spring 2020
JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization