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Vincent's Projects

caffe icon caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

caffe-opencl icon caffe-opencl

Deep learning with Caffe on phones, with OpenCL support for CPU and GPU devices.

caffe2 icon caffe2

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

distiller icon distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

libxcam icon libxcam

libXCam is a project for extended camera(not limited in camera) features and focus on image quality improvement and video analysis. There are lots features supported in image pre-processing, image post-processing and smart analysis. This library makes GPU/CPU/ISP working together to improve image quality. OpenCL is used to improve performance in different platforms.

mace icon mace

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

mvision icon mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

nnpack icon nnpack

Acceleration package for neural networks on multi-core CPUs

paddle-mobile icon paddle-mobile

Paddle Mobile Framework (移动端框架,支持多平台,高性能,低能耗预测部署)

pocketflow icon pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qnnpack icon qnnpack

Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators

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