horovod
ray_snowflake
horovod | ray_snowflake | |
---|---|---|
1 | 1 | |
11,889 | 4 | |
- | - | |
9.4 | 6.6 | |
over 2 years ago | 7 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
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horovod
-
[P] Cost of distributed deep learning on AWS
Code for https://arxiv.org/abs/1802.05799 found: https://github.com/uber/horovod
ray_snowflake
What are some alternatives?
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aws-data-wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). [Moved to: https://github.com/aws/aws-sdk-pandas]
rxray - Ray distributed computing integration for RxPY
SnowDDL - Declarative-style object management tool for Snowflake.
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
client - DagsHub client libraries
snowflake-provisioning - Snowflake Database, Schema, and Warehouse provisioning with Access Roles & Generating and Provisioning of Functional Roles & Snowflake Source Export & Snowflake cloning tool
deep-significance - Enabling easy statistical significance testing for deep neural networks.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.