Pytorch implementation of convolutional neural network visualization techniques

Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨

PyTorch implementation of DeepDream algorithm

Pytorch implementation of the DeepDream computer vision algorithm

Quickly and easily create / train a custom DeepDream model

Visualizer for PyTorch image models

DeepDream psychodelic image generator.

In this repository i created many data scince - machine learning projects like(Deep dream,weather prediction,Movie recommender system etc) with code & datasets

open source, collaborative art generation that combines hand and machine

This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt

15 Minutes introductionn into Deep Dreaming Neural Networks and how we can learn from them

Code examples, assignments and solutions for the course CS 20SI: TensorFlow for Deep Learning Research (winter 2017).

Extending the idea of deep dream to textual data.

Code for creating maximal activation images (like Deep Dream) in pytorch with various regularizations / losses.

Implementation of google deep dream algorithm using Tensorflow

implementation of Google's Deep Dream

ConvNet-Vis helps to visualize the Deep Convolutional Neural Networks with following methods.

generate deep dream zoom in videos with an input image

Deep dreaming images with TensorFlow.js

A bot that listens for the #DeepDreamMeBot hashtag on a tweet with an image and replies with a deep dream version of that image.