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whydazhou's Projects

caffe2 icon caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

computelibrary icon computelibrary

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

detectron icon detectron

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

etna_viv icon etna_viv

laanwj's personal etna_viv fork -- upstream repository is https://github.com/etnaviv/etna_viv

feathercnn icon feathercnn

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

incubator-mxnet icon 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

mace icon mace

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

mesa icon mesa

FOSS OpenGL ES1 and ES2 driver for Vivante GCxxxx series

mnn icon mnn

MNN is a lightweight deep neural network inference engine.

moltenvk icon 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.

opencv icon opencv

Open Source Computer Vision Library

paddle-mobile icon 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.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

tbd-nets icon tbd-nets

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

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tvm-mali icon tvm-mali

Optimizing Mobile Deep Learning on ARM GPU with TVM

x-deeplearning icon x-deeplearning

An industrial deep learning framework for high-dimension sparse data

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