What is Kur?
Kur is a system for quickly building and applying state-of-the-art deep learning models to new and exciting problems. Kur was designed to appeal to the entire machine learning community, from novices to veterans.
Kur is a tool in the Machine Learning Tools category of a tech stack.
Kur is an open source tool with 803 GitHub stars and 109 GitHub forks. Here’s a link to Kur's open source repository on GitHub
Who uses Kur?
5 developers on StackShare have stated that they use Kur.
Why developers like Kur?
Here’s a list of reasons why companies and developers use Kur
Be the first to leave a pro
Kur Alternatives & Comparisons
What are some alternatives to Kur?
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.
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.