At this point your command line should look something like: (deep-learning) <User>:deep-learning-v2-pytorch <user>$. The (deep-learning) indicates that your environment has been activated, and you can ...

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 ...

A Deep Learning based project for colorizing and restoring old images (and video ... But we also believe that there needs to be boundaries on just how much is reasonable to be expected from an open ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: AI-ready data centers ...

In this respect, as an alternative to traditional source code detection methods, deep learning seems to have become an attractive solution. Thus, in this research work, we propose a deep ...

Project InnerEye open-source software (OSS) is created and used for deep learning research by the Project InnerEye team in Microsoft Health Futures.It is released at no-cost under an MIT open-source ...

Project Brainwave is a deep learning platform for real-time AI inference in the cloud and on the edge. A soft Neural Processing Unit (NPU), based on a high-performance field-programmable gate array ...

Software Defect Prediction Based on Deep Representation Learning of Source Code From Contextual Syntax and Semantic Graph ... Experimental results indicate that DH-CNN outperforms existing methods ...

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, today closed $3 million in financing from Tencent, SV Angel, GreatPoint Ventures ...