Search Results for "intel"

ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework.

NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency.

This repository provided a pre-release of TensorFlow and TensorFlow Addons tailored for macOS 11+ with native hardware acceleration via Apple’s ML Compute, supporting both Apple Silicon (M1) and Intel Macs. It shipped ready-made Python 3.8 wheels and install scripts so developers could quickly get an accelerated stack running without building from source. As TensorFlow added a Metal PluggableDevice path, the project directed users toward using Apple’s tensorflow-metal to get GPU acceleration on Mac directly through Metal. The README and releases emphasized this was a macOS-optimized distribution, not an upstream fork of TensorFlow, and it cataloged common installation notes and issues encountered by early Apple Silicon users. ...

NFF-Go is a set of libraries for creating and deploying cloud-native Network Functions (NFs). It simplifies the creation of network functions without sacrificing performance. We are now supporting AF_XDP and supporting(almost) getting packets directly from Linux. So you do not need to write 3(three) different applications to process packets coming from different type of drivers of PMDs. You just write everything in NFF-Go, and it can dynamically use whatever you would like underneath....

...Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu backend is selected by default, so the above command is equivalent to if a compatible GPU resource is found on the system. The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. ...

USB flash drive ISO image for Ethereum mining with NVIDIA graphics cards and Ubuntu GNU/Linux (64-bit Intel/AMD (x86_64)). Other cryptocurrencies, such as Monero or Zcash, can also be mined. With this ISO image, you can immediately mine Ethereum (ETH). Do not spend long time searching and researching. If you do not trust me and do not want to use the image, you will find all configuration files and scripts in the files folder. You only have to install an Ubuntu Linux with all the drivers and tools yourself. ...

...The framework provides facilities for real-time rendering of graphics (using DirectX, OpenGL or Software Renderer), text output, mathematics (including vectors and matrices) and networking communication, among other features. It also supports singleboard devices such as Raspberry PI, Intel Galileo, BeagleBone Black and others with features like GPIO, SPI, I2C and so on, along with external displays, sensors and other peripheral devices.

CMS on PHP5 and MySQL. Add data on you site easy! The forum explains how to join the developer group.