Displaying 1 to 8 from 8 results

webdnn - The Fastest DNN Running Framework on Web Browser

  •    Python

WebDNN is an open source software framework for executing deep neural network (DNN) pre-trained model on web browser. WebDNN can execute DNN models trained by follow deep learning frameworks on web browser.

axel - Lightweight CLI download accelerator

  •    C

Axel tries to accelerate the download process by using multiple connections per file, and can also balance the load between different servers. Axel tries to be as light as possible, so it might be useful on byte-critical systems.

accelerate - Embedded language for high-performance array computations

  •    Haskell

Data.Array.Accelerate defines an embedded language of array computations for high-performance computing in Haskell. Computations on multi-dimensional, regular arrays are expressed in the form of parameterised collective operations (such as maps, reductions, and permutations). These computations are online-compiled and executed on a range of architectures. Chapter 6 of Simon Marlow's book Parallel and Concurrent Programming in Haskell contains a tutorial introduction to Accelerate.

BNNS-vs-MPSCNN - Compares the speed of Apple's two deep learning frameworks: BNNS and Metal Performance Shaders

  •    Swift

This app compares the speed of Apple's two deep learning frameworks: BNNS and Metal Performance Shaders (MPSCNN). It creates a basic convolutional neural network with 2 convolutional layers, 2 pooling layers, and a fully-connected layer. Then it measures how long it takes to sends the same image 100 times through the network.




accelerate-llvm - LLVM backend for Accelerate

  •    Haskell

This package compiles Accelerate code to LLVM IR, and executes that code on multicore CPUs as well as NVIDIA GPUs. This avoids the need to go through nvcc or clang. For details on Accelerate, refer to the main repository. We love all kinds of contributions, so feel free to open issues for missing features as well as report (or fix!) bugs on the issue tracker.

fast-dna - A set of tooling, resources, and components used to accelerate building Web sites and applications

  •    TypeScript

FAST-DNA is tooling, resources, and components used to accelerate building Web sites and applications. Teams spend significant time building parts of the design system (colors, variable font, typography, grid, components, etc.) which can slow adoption of the latest design guidelines and related technologies. FAST-DNA solves this problem by providing tooling and resources to accelerate development with code that is performant and accessible. Many of the resources are written to be framework agnostic and will work with any component library and JavaScript framework (React, Angular, etc.). We also support a number of React-specific packages for UI generation.

Doggie - A Cross-platform Foundation Library for Swift

  •    Swift

Doggie is a foundational library for Apple's swift. It includes mathematics, accelerate, signal processing and graphic functions. Documents can find in here.







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