Google Open-Sources GPipe Library for Training Large-Scale Neural Network Models
oogle this week introduced GPipe, an open-source library that dramatically improves training efficacy for large-scale neural network models.
AI Technology & Industry Review
oogle this week introduced GPipe, an open-source library that dramatically improves training efficacy for large-scale neural network models.
Synced Global AI Weekly February 3rd
Facebook announced today that it is open-sourcing QNNPACK, a high-performance kernel library optimized for mobile AI. The computing power of mobile devices is but a tiny fraction of that of data center servers. As such it is essential to find ways to optimize mobile devices’ hardware performance in order to run today’s compute-hungry AI applications.
DeepMind announced today that it has opened its Graph Nets (GN) library to the public, enabling the use of graph networks in TensorFlow and Sonnet. Graph Nets is a machine learning framework that was published by DeepMind, Google Brain, MIT and University of Edinburgh on Jun 15.
DeepMind announced today that it is open-sourcing its TRFL (pronounced ‘truffle’) library, which contains a variety of building blocks useful for developing reinforcement learning (RL) agents in TensorFlow.




