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Track, compare and collaborate on Machine Learning experiments
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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.

Who uses Comet.ml?

Companies

Developers

Comet.ml Integrations

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?
TensorFlow
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
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
PyTorch
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
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
See all alternatives

Comet.ml's Followers
12 developers follow Comet.ml to keep up with related blogs and decisions.
Gabriel Gatica
ILIR KONDO
MohammadAsh15
Sergio Negrete
hi-zhenyu
Pariyat
tommy3531
ceceshao1
rememberlenny
Zac Petterd