Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Deep-Packet
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
GermanWordEmbeddings
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
awesome-community-detection
A curated list of community detection research papers with implementations.
awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).