tony-framework/TonY
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
TonY helps machine learning engineers or data scientists who need to train deep learning models using frameworks like TensorFlow or PyTorch on large datasets stored in Apache Hadoop. It takes your deep learning training scripts and configuration, then runs them natively across your Hadoop cluster, outputting trained models or results reliably and at scale.
713 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer working with deep learning models and require the scalability and fault tolerance of your existing Apache Hadoop infrastructure for training.
Not ideal if you do not use Apache Hadoop for your data storage or processing, or if you prefer a different distributed computing environment for deep learning.
Stars
713
Forks
164
Language
Java
License
—
Category
Last pushed
Oct 14, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tony-framework/TonY"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
tensorflow/tfx
TFX is an end-to-end platform for deploying production ML pipelines
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with...
projectglow/glow
An open-source toolkit for large-scale genomic analysis
yahoo/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Wei-1/Scala-Machine-Learning
No Dependency Scala Machine Learning Algorithm Gallery