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Deep-Autoencoders-For-Collaborative-Filtering
Using Deep Autoencoders for predictions of movie ratings.Sentiment-Analysis-of-Netflix-Reviews
Sentiment Analysis LSTM recurrent neural network's.Deep-Reinforcement-Learning
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.Anomaly-Detection-in-TensorFlow-2.0
An Autoencoder for detection of anomalies implemented in TensorFlow 2.0Binary-image-classification-with-CNN-s
Convolutional neural network with a custom architecture used for binary classification of imagesDCGAN
Deep convolutional generative adversarial network for image generation.Building-a-Real-Time-Cybersecurity-Solution
SSD-Single-Shot-MultiBox-Detector
Object detection and classification with Single-Shot-Multibox-DetectorCreditcard-Fraud-Prediction-with-Artificial-Neural-Networks
An artifical neural network that can identify creditcard fraud. The network is trained on the dataset that contains transactions made by credit cards in September 2013 by european cardholders. This dataset presents transactions that occurred in two days, where there are 492 frauds out of 284,807 transactions.Love Open Source and this site? Check out how you can help us