Simeon Monov is a Solutions Architect and Performance Engineer in the Cognitive OpenTech group at IBM Silicon Valley Lab. Simeon has been actively involved in open source projects and communities since 2013. He was involved in OpenStack community specializing in the virtual networking module Neutron. Simeon also worked on Juniper SDN solution Contrail involved in very early stage adoption and testing. Currently, Simeon is involved in deep learning related projects such as Reading Comprehension using open source frameworks and APIs such as PyTorch, Numpy, Spacy, TensorFlow, Keras, etc. Also Simeon is involved in JanusGraph - Distributed graph database project.Current Simeon interest is in Deep Learning research and data science.
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Learn how to install PyTorch from source on Power platforms.
Learn how to install CUDA and cuDNN on Power platforms.
Build a handwritten digit recognizer in IBM Watson Studio and PyTorch
Learn how to install TensorFlow from source on Power platforms.
Develop a twitter-like application using JanusGraph, covering model creation, data generation, data ingestion, and graph querying.
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