An educational project for understanding CNNs
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Updated
Jan 21, 2026 - Jupyter Notebook
An educational project for understanding CNNs
DeepDream for video with temporal consistency. Features RAFT optical flow estimation and occlusion masking to prevent ghosting. A PyTorch implementation.
Gradient-based saliency maps and activation maximization (feature visualization) in TensorFlow 2 for CNNs, using pre-trained or small models.
✨ PyTorch implementation of DeepDream algorithm with a nice web demo.
基于《明日方舟》的趣味课题 : ) / Interesting trials and trifles on the game Arknights : )
Classic original Inception style DeepDream, but with CLIP ResNet. And CLIP ViT for comparison.
DeepDreamArt: Dive into surreal visuals with DeepDream-powered neural art.
Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.
Deep Dreaming with CLIP Vision Transformers
Here I will put my cheatsheets
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
Telegram bot for image processing with DeepDream
Work space for playing with Google's DeepDream algorithm described here: https://ai.googleblog.com/2015/07/deepdream-code-example-for-visualizing.html
It creates hallucination effect using Deep learning techniques and give you a sense of dreaming.
PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
Streamlit app with Deep Dream implementation on Keras.
Open source style Deep Dream project
A creative and interactive Art generator created for AUHack 2018
Implementation of deep dreaming in PyTorch
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