omegaml VS CNTK

Compare omegaml vs CNTK and see what are their differences.

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omegaml CNTK
2 1
94 17,435
- 0.0%
8.1 0.0
2 days ago about 1 year ago
Python C++
Apache License 2.0 GNU General Public License v3.0 or later
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.

omegaml

Posts with mentions or reviews of omegaml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

CNTK

Posts with mentions or reviews of CNTK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-20.

What are some alternatives?

When comparing omegaml and CNTK you can also consider the following projects:

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

srez - Image super-resolution through deep learning

tensorflow - An Open Source Machine Learning Framework for Everyone

MLflow - Open source platform for the machine learning lifecycle

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Caffe - Caffe: a fast open framework for deep learning.

Metrics - Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Keras - Deep Learning for humans

pdpipe - Easy pipelines for pandas DataFrames.

scikit-learn - scikit-learn: machine learning in Python