A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Simple RBM used as feature extractor for classification purposes
A LSTM based framework for handling multiclass imbalance in DGA botnet detection
Implementation of 《DeepDGA: Adversarially-Tuned Domain Generation and Detection》 arXiv:1610.01969
FANCI is a prototype implementation of a machine learning based classification engine for non-existent domains to detect domain gernation algorithm malware traffic.
