Apache MXNet
MXNet is Apache Deep learning ecosystem. It supports 8 different languages (Python, Scala, Julia, Clojure, Java, C++, R and Perl). It also supports Horovod, the distributed learning framework developed by Uber. Its central component is Gluon API, which extends to GluonCV (computer vision), GluonNLP (natural language processing) and GluonTS (Probabilistic Time Series Modeling).
- Learn more
- Official website
Related articles
MLflow tutorial: an open source Machine Learning (ML) platform
Categories: Data Engineering, Data Science, Learning | Tags: AWS, Azure, Databricks, Deep Learning, Deployment, Machine Learning, MLflow, MLOps, Python, Scikit-learn
Introduction and principles of MLflow With increasingly cheaper computing power and storage and at the same time increasing data collection in all walks of life, many companies integrated Data Scienceā¦
Mar 23, 2020
Deep learning on YARN: running Tensorflow and friends on Hadoop cluster
Categories: Data Science | Tags: GPU, Hadoop, MXNet, Spark, Spark MLlib, YARN, Deep Learning, PyTorch, TensorFlow, XGBoost
With the arrival of Hadoop 3, YARN offer more flexibility in resource management. It is now possible to perform Deep Learning analysis on GPUs with specific development environments, leveragingā¦
Jul 24, 2018
YARN and GPU Distribution for Machine Learning
Categories: Data Science, DataWorks Summit 2018 | Tags: GPU, YARN, Machine Learning, Neural Network, Storage
This article goes over the fundamental principles of Machine Learning and what tools are currently used to run machine learning algorithms. We will then see how a resource manager such as YARN can beā¦
May 30, 2018