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whydazhou's repositories

MNN

MNN is a lightweight deep neural network inference engine.

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MoltenVK

MoltenVK is an implementation of the high-performance, industry-standard Vulkan graphics and compute API, that runs on Apple's Metal graphics framework, bringing Vulkan to iOS and macOS.

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opencv

Open Source Computer Vision Library

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x-deeplearning

An industrial deep learning framework for high-dimension sparse data

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ComputeLibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

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paddle-mobile

This research aims at simply deploying deeplearning on mobile and embedded devices, with low complexity and high speed. old name mobile deep learning.

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mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

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FeatherCNN

FeatherCNN is a high performance inference engine for convolutional neural networks.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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MobileNetV2

A Tensorflow implementation of MobileNet V2

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tbd-nets

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

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googletest

Google Test

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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