The open source ethos and collaboration tools make it easier for teams to share code and data and build on the success of others. This article looks at 13 open source projects that are remaking ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: New Thinking about Cloud Computing ...

AI and Deep Learning for computer vision projects has come to the masses. This can be attributed partly to the community projects that help ease the pain for newbies. [Abhishek] contributes one su… ...

In 2017, Google started an open source project called Kubeflow that aims to bring distributed machine learning to Kubernetes. ... Deep Learning VMs.

Skymind, a company developing an open-source deep-learning library for Java, along with tools for implementation, ... (SKIL) to build and deploy production code for deep-learning projects.

The code, which weighs in at a scant 200KB in the source folder, combines Nvidia CUDA code, Python script, and a little bit of C++ to describe how to make a convolutional neural network parse and ...