[D] Package for multi-GPU training in PyTorch?

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DeepMind’s AI Learns Locomotion From Scratch

Welcome to /r/artificial /r/artificial is the largest subreddit dedicated to all issues related to Artificial Intelligence or AI. What does AI mean? Find out here! Guidelines: All submissions are moderated through "collaborative filtering"...

US Army develops AI that recognises faces in the dark and sees through walls...

Welcome to /r/artificial /r/artificial is the largest subreddit dedicated to all issues related to Artificial Intelligence or AI. What does AI mean? Find out here! Guidelines: All submissions are moderated through "collaborative filtering"...

Would it be possible to retrain discriminator to recover latent vector? : MachineLearning

So, an idea struck me, given that the discriminator in a GAN network is already very good at analyzing outputs from a generator, wouldn't it be possible to retrain it...

Project to elucidate the structure of atomic nuclei at the femtoscale

The Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy (DOE) Office of Science User Facility, has selected 10 data science and machine learning projects for its Aurora Early...

The psychological impact of an $11 Facebook subscription – TechCrunch

Would being asked to pay Facebook to remove ads make you appreciate their value or resent them even more? As Facebook considers offering an ad-free subscription option, there are...

[D] CI/CD for Machine Learning : MachineLearning

I've seen a few posts about CI/CD best practices for ML pipelines. Curious what best practices people are seeing emerge. Is anyone using a Jenkins/Travis/etc for their ML work?I collected...

[D] Analysis of OpenAI’s DOTA2 AI and what being superhuman actually means

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[D] Clustering Functions : MachineLearning

What would people here recommend as a method to cluster groups of similar functions. Let's say I have some incoming finite dimensional vectors (like a function paramterised discretely over some grid),...

How to Evaluate Machine Learning Algorithms for Human Activity Recognition

Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. Classical approaches to the problem involve hand crafting...

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