Pinned Repositories
Anemone_1
OCR bank statements in an attempt to understand and classify content.
cecog
A fast and cross-platform image analysis framework for fluorescence time-lapse microscopy and bioimage informatics.
ComputerVisionLecture
Inpainting-1
Image inpainting
inpainting_criminisi2004
MATLAB Implementation of inpainting Algorithm by A. Criminisi (2014)
OLINUXINO
OLINUXINO is Open Source / Open Hardware, low cost from EUR 24 Linux Industrial grade Single Board Computer capable to operate -25+85C
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
ConradSpiteri's Repositories
ConradSpiteri/Anemone_1
OCR bank statements in an attempt to understand and classify content.
ConradSpiteri/cecog
A fast and cross-platform image analysis framework for fluorescence time-lapse microscopy and bioimage informatics.
ConradSpiteri/ComputerVisionLecture
ConradSpiteri/Inpainting-1
Image inpainting
ConradSpiteri/inpainting_criminisi2004
MATLAB Implementation of inpainting Algorithm by A. Criminisi (2014)
ConradSpiteri/OLINUXINO
OLINUXINO is Open Source / Open Hardware, low cost from EUR 24 Linux Industrial grade Single Board Computer capable to operate -25+85C
ConradSpiteri/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.