Horovod: Uber’s Open Source Distributed Deep Learning Framework

'Horovod' is an open-source distributed deep learning framework created by Uber's AI team. This framework is used for applications in TensorFlow, Keras,...

‘Backronym’ May Help To Generate Ideas in Machine Learning by Visualizing Hundreds of Research...

Every year hundreds of papers are published on Machine learning/Deep Learning in various journals and conferences. Most of them are based on...

Uber Open-Sources ‘Fiber’, A Python Distributed Computing Library For Modern Computer Clusters

Uber Introduces Fiber, a Python-based distributed computing library for modern computer clusters. Now you can code/program your computer cluster instead of programming...

OpenAI releases Jukebox, a machine learning framework that generates music

OpenAI recently launched Jukebox, a model that generates music with singing in the raw audio domain. As a generative model for music,...

This ‘TensorDash’ application lets you track and monitor deep learning model metrics

Now you can monitor your deep learning model using an application called 'TensorDash' remotely instead of sitting in front of your workstation...

Neuropod: Uber ATG’s Open Source Deep Learning Inference Engine

Uber Advanced Technologies Group (ATG) recently open-sourced Neuropod, a framework that provides a uniform interface to run deep learning models from multiple...

This open-source tool ‘Doccano’ provides annotation features for text classification

Doccano is an open-source text annotation tool for machine learning professionals. It sets annotation features for sequence labeling, text classification and sequence...

Introducing EvolGAN: An Evolutionary Method To Generate Higher Quality Images From Small or Difficult...

Generative Adversarial Networks (GANs) are a model architecture that automatically discovers and learn the regularities or patterns in input data. GANs use...

Nvidia Researchers Introduces A Modular Primitive To Provide High-Performance Primitive Operations For Rasterization-Based Differentiable...

Differentiable rendering is a novel field that helps to calculate the gradients of 3D objects and allows them to get propagated through...

LinkedIn open-sources LiFT to enable the measurement of fairness in large-scale machine learning workflows

Although there are many approaches and libraries presently in practice to analyze fairness in machine learning models, they all are still limited...
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