What is H2O?
H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
H2O is a tool in the Machine Learning Tools category of a tech stack.
H2O is an open source tool with 5.6K GitHub stars and 1.9K GitHub forks. Here’s a link to H2O's open source repository on GitHub
Who uses H2O?
16 companies reportedly use H2O in their tech stacks, including Development, Autonom8, and Cube.
87 developers on StackShare have stated that they use H2O.
Pros of H2O
Very fast and powerful
Auto ML is amazing
Super easy to use
H2O Alternatives & Comparisons
What are some alternatives to H2O?
See all alternatives
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/