What is Comet.ml?
Comet.ml allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.
Comet.ml is a tool in the Machine Learning Tools category of a tech stack.
scikit-learn, Theano, Keras, PyTorch, and TensorFlow are some of the popular tools that integrate with Comet.ml. Here's a list of all 5 tools that integrate with Comet.ml.
Why developers like Comet.ml?
Here’s a list of reasons why companies and developers use Comet.ml
Comet.ml Alternatives & Comparisons
What are some alternatives to Comet.ml?
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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.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.