Training Mule allows you or your team to easily label images, providing you with the datasets that you require for the best results.
Alternatively, let Monty the Training Mule lend a hoof and tirelessly label the images for you, saving you time and money.
With your images labeled, we will train the network of your choice and provide you with the model ready for use. We can also host the network for you and provide an API for you to access your trained model in the cloud.
If you want similar software to Training Mule, we have a list for that. Are there Training Mule alternatives out there? Let's find out.
TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks. It was originally developed by the...
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CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R.
A desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation.
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mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of...
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Supervisely helps people with and without machine learning expertise to create state-of-the-art computer vision applications. We care about entire workflow from raw data...
Radically efficient machine teaching. An annotation tool powered by active learning. From the makers of spaCy.
The Microsoft Cognitive Toolkit - CNTK - is a unified deep-learning toolkit by Microsoft Research.
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