Artem Oppermann's repositories
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.
Restricted-Boltzmann-Machine
Restricted Boltzmann Machine for collaborative filtering of movies.
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 2.0
Binary-image-classification-with-CNN-s
Convolutional neural network with a custom architecture used for binary classification of images
Creditcard-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.
github-markdown-toc
Easy TOC creation for GitHub README.md
SSD-Single-Shot-MultiBox-Detector
Object detection and classification with Single-Shot-Multibox-Detector
Autoencoders-Variants
Pytorch implementations of various types of autoencoders
converting-pdf-to-json-using-sensible
Easily Converting PDF to JSON using Sensible
dlvcnptel
Tutorials for DLVC NPTEL MOOC
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
wiki
The Ethereum Wiki -