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With over 20 years of experience in software development and over 100 million users worldwide, nero is a brand you can trust. get your copy of the best computer software that nero has to offer - the nero...

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Welcome to the netbeans plugin portal. download, comment, and rate plugins provided by community members and third-party companies, or post your own contributions!

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Ganglia monitoring system

Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and grids. it is based on a hierarchical design targeted at federations of clusters.

Github - karpathy/char-rnn: multi-layer recurrent neural ...

Char-rnn. this code implements multi-layer recurrent neural network (rnn, lstm, and gru) for training/sampling from character-level language models. in other words the model takes one text file as input and trains a recurrent neural network that learns to predict the next character in a sequence.

Cloud computing - wikipedia

Cloud computing is shared pools of configurable computer system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the computing relies on sharing of resources to achieve coherence and economies of scale, similar to a public utility.. third-party clouds enable organizations to focus on their core businesses instead of...

Cuda toolkit 10.0 download | nvidia developer

Get started the above options provide the complete cuda toolkit for application development. runtime components for deploying cuda-based applications are available in ready-to-use containers from nvidia...

Papers with code : the latest in machine learning

Consistent individualized feature attribution for tree ensembles interpreting predictions from tree ensemble methods such as gradient boosting machines and random forests is important, yet feature attribution for trees is often heuristic and not individualized for each prediction.

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Convolutional neural network - wikipedia

In deep learning, a convolutional neural network (cnn, or convnet) is a class of deep neural networks, most commonly applied to analyzing visual imagery.. cnns use a variation of multilayer perceptrons designed to require minimal preprocessing. they are also known as shift invariant or space invariant artificial neural networks (siann), based on their shared-weights architecture and...

Pc gaming hardware | pc gamer

The latest pc gaming hardware news, plus expert, trustworthy and unbiased buying guides.

Deep learning

Deep learning is a new area of machine learning research, which has been introduced with the objective of moving machine learning closer to one of its original goals: artificial intelligence.

Gtc 2018 silicon valley

Tdliw03 - pre-gtc dli workshop: perception for autonomous vehicles pre-requisite: 'fundamentals of deep learning for computer vision' or similar deep learning experience. in this course, you'll learn how to design, train, and deploy deep neural networks for autonomous vehicles using the nvidia drive™ px2 development platform.

Def con® 23 hacking conference - speakers

Def con 101: the panel. mike petruzzi (wiseacre), senior cyber security penetration tester nikita kronenberg not a security researcher, def con pushpin plug russ rogers chief of operations, def con. def con has changed for the better since the days at the alexis park.

Awesome python

A curated list of awesome python frameworks, libraries and software

Torch | scientific computing for luajit.

What is torch? torch is a scientific computing framework with wide support for machine learning algorithms that puts gpus first. it is easy to use and efficient, thanks to an easy and fast scripting language, luajit, and an underlying c/cuda implementation.

New - amazon ec2 instances with up to 8 nvidia tesla v100 ...

Each of the nvidia gpus is packed with 5,120 cuda cores and another 640 tensor cores and can deliver up to 125 tflops of mixed-precision floating point, 15.7 tflops of single-precision floating point, and 7.8 tflops of double-precision floating point. on the two larger sizes, the gpus are connected together via nvidia nvlink 2.0 running at a total data rate of up to 300 gbps.

Amazon ec2 - p2 instances

Amazon ec2 p2 instances are powerful, scalable instances that provide gpu-based parallel compute capabilities. for customers with graphics requirements, see g2 instances for more information.. p2 instances, designed for general-purpose gpu compute applications using cuda and opencl, are ideally suited for machine learning, high performance databases, computational fluid dynamics...

The hello world collection

The largest collection of hello world programs on the internet.

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