SeeAI
gan-vae-pretrained-pytorch
SeeAI | gan-vae-pretrained-pytorch | |
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2 | 1 | |
7 | 162 | |
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10.0 | 0.0 | |
over 1 year ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
BSD 2-clause "Simplified" License | - |
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SeeAI
- Is there something like ChatGPT but with image recognition?
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AI script that describes images!
Link to the GitHub: https://github.com/skynet-Inc/SeeAI
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?
2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
lane-detection-opencv - This is for detecting any lane in the road to identify the road map
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!
D-Drone_v2 - Detection of Drones using Computer Vision Algorithms
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
DeepLearning - Contains all my works, references for deep learning
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.
Social_Distancing_with_AI - Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).