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mean Average Precision - This code evaluates the performance of your neural net for object recognition.

megapixelao icon megapixelao

This is the open source repository for our SIGGRAPH 2018 paper "Megapixel Adaptive Optics: Towards Correcting Large-scale Distortions in Computational Cameras".

ml-mobileone icon ml-mobileone

This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

mtr icon mtr

MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

nni icon nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

onnx icon onnx

Open standard for machine learning interoperability

open3d icon open3d

Open3D: A Modern Library for 3D Data Processing

orb-slam2-based-ar-on-android icon orb-slam2-based-ar-on-android

This is a Android Augmented Reality APP based on ORB-SLAM2 and OpenGL,which can work well on both outdoor and indoor environments

pangolin-1 icon pangolin-1

Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

pedometer icon pedometer

Accelerometer based pedometer (step count and step type)

pedometer-step-counting-algorithm icon pedometer-step-counting-algorithm

collected real time walking data(patterns) with gyroscope, use Fast Fourier Transformation to extract the clustering features, and build the step counting algorithm for pedometer

pytorch-book icon pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

samosa icon samosa

Code for the paper, SAMoSA - Sensing Activities with Motion and Sub-sampled Audio

scinet icon scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

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