OliverEdholm/Convolutional-Autoencoder

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Python
Created almost 8 years ago
Updated over 6 years ago

OliverEdholm/Convolutional-Autoencoder

OliverEdholm

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A convolutional autoencoder made in TFLearn.

Image-Retrieval

Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.

Stock-Market-Probabilities-Deep-Learning

Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.

Neural-quote-generator

A lstm-char-rnn generator (neural network) made in TFLearn generating quotes.

Text-vocabulary-enhancer

Enhances the vocabulary of a text to a more advanced one through Word2Vec and Machine Learning.

icon-generative-adversarial-network

Code used for generating icons automatically through GAN, the initial implementation was taken from *carpedm*. Dataset used was generated by me through scraping the web + filtering images at: https://github.com/OliverEdholm/automatic-web-icon-dataset

VGG-Face-Logistic-Regression

Classifying images of faces using the same technique this paper used: https://psyarxiv.com/hv28a/

Tensorflow-Easy-Seq2Seq

A tool that allows you to easily train a Seq2Seq model, get the embeddings and the outputs without having much knowledge about deep learning.

Django-Heroku-Template

Django template for developing good web apps that are being uploaded to Heroku for hosting.

Python-Algorithms

A repository of algorithms I've implemented in Python

Neural-number-sorter

Neural network that successfully sorts X-bit numbers that are Y numbers long.

BadmintonSwedenAPI

API for accessing Swedish Badminton related data easily.

automatic-web-icon-dataset

Scraping top N websites on the Alexa ranking, getting all images, filtering based on if the image is a natural photograph or a computer graphic, and on how big the image is. Including alt-text if it follows a set of criterion.

Jupyter Notebook