horovod VS livelossplot

Compare horovod vs livelossplot and see what are their differences.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod] (by uber)

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others (by stared)
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horovod livelossplot
1 1
11,889 1,282
- -
9.4 0.0
over 2 years ago almost 2 years ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

horovod

Posts with mentions or reviews of horovod. We have used some of these posts to build our list of alternatives and similar projects.

livelossplot

Posts with mentions or reviews of livelossplot. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing horovod and livelossplot you can also consider the following projects:

tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow

pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras

rxray - Ray distributed computing integration for RxPY

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

seq2seq - A general-purpose encoder-decoder framework for Tensorflow

tf-keras-vis - Neural network visualization toolkit for tf.keras

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

ray_snowflake - Ray Data Connector for Snowflake

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

client - DagsHub client libraries

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.