Horovod Alternatives

Similar projects and alternatives to horovod based on common topics and language

  • GitHub repo petastorm

    horovod VS petastorm

    Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

  • GitHub repo DeepDanbooru

    horovod VS DeepDanbooru

    AI based multi-label girl image classification system, implemented by using TensorFlow.

  • Activeloop.ai

    Optimize your datasets for ML. Goodbye, boilerplate code - the fastest dataset optimization and management tool for computer vision.

  • GitHub repo thinc

    horovod VS thinc

    🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

  • GitHub repo onepanel

    The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

  • GitHub repo netron

    horovod VS netron

    Visualizer for neural network, deep learning, and machine learning models

  • GitHub repo d2l-en

    horovod VS d2l-en

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

  • GitHub repo polyaxon

    horovod VS polyaxon

    Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better horovod alternative or higher similarity.

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Reviews and mentions

Posts with mentions or reviews of horovod. We have used some of these posts to build our list of alternatives and similar projects.
  • [D] GPU buying recommendation
    If you just want to run tensorflow or pytorch for a Jupyter notebook, setting the environment shouldn't be difficult. I know that AWS has a marketplace of preconfigured images. However, you can go as advanced as setting up a cluster of gpu-equipped nodes to setup Horovod (https://github.com/horovod/horovod) to do distributed machine learning. Yes, there's a learning curve, but you cannot acquire this skillet any other way.
  • SKLean, TensorFlow, etc vs Spark ML?
    I'm the maintainer for an open source project called Horovod that allows you to distribute deep learning training (e.g., TensorFlow) on platforms like Spark.
  • Cluster machine learning
    reddit.com/r/HPC | 2021-02-11
    You'll want to use horovod to run keras in a distributed system. Then use Slurm to manage the cluster and run the job.

Stats

Basic horovod repo stats
3
11,765
9.3
5 days ago

horovod/horovod is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

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