CNN visualization tool in TensorFlow
PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
Easy to configure Python program that make use of Google's DeepDream.
Deep learning using tensorflow
PyTorch implementation of DeepDream algorithm
Pytorch implementation of various neural network interpretability methods
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Pytorch implementation of the DeepDream computer vision algorithm
Quickly and easily create / train a custom DeepDream model
DeepDream for video with temporal consistency. Features RAFT optical flow estimation and occlusion masking to prevent ghosting. A PyTorch implementation.
DeepLearningToys: Some deep learning toys implemented in pytorch.
Pytorch implementation of DeepDream on VGG16 Network
A tiled DeepDream project for creating any size of image, on both CPU and GPU
Google TensorFlow project for classification using images or video input.
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
Generative deep learning: DeepDream
Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.
Deepdream experiment implemented using Keras and VGG19 convnet
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