whydazhou's repositories
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
ComputeLibrary
The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.
DepthwiseConvolution
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
etna_viv
laanwj's personal etna_viv fork -- upstream repository is https://github.com/etnaviv/etna_viv
FeatherCNN
FeatherCNN is a high performance inference engine for convolutional neural networks.
googletest
Google Test
mace
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
mesa
FOSS OpenGL ES1 and ES2 driver for Vivante GCxxxx series
MNN
MNN is a lightweight deep neural network inference engine.
MobileNetV2
A Tensorflow implementation of MobileNet V2
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
Open Source Computer Vision Library
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
Tensors and Dynamic neural networks in Python with strong GPU acceleration
repos
repos.rcn-ee.net
tbd-nets
PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-opencl
OpenCL support for TensorFlow
tf-coriander
OpenCL 1.2 implementation for Tensorflow
tvm-mali
Optimizing Mobile Deep Learning on ARM GPU with TVM
x-deeplearning
An industrial deep learning framework for high-dimension sparse data