Series of projects and tutorials around using Building production grade Deep learning pipelines
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Deep Learning with Apache Spark and Deep Cognition
BigDL: Distributed Deep Learning Library for Apache Spark
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Script series for NLP: PMI, TF-IDF and Neural cooccurrence vectorization, vector (TF/IDF & PMI) data base distributed querying and population with Hadoop. Deep learning and kernel learning in sklearn.
Building blocks for deep learning pipelines
Integrating neural network models in HEVC encoder, to test the complexity reduction using deep learning in HEVC intra-prediction.