Wei Wu's repositories

ResNet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

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mx-rcnn

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

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mxnet-the-straight-dope

An interactive book on deep learning, in concept and in MXNet

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test_code

some test code in my job/study

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

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Char-RNN-Gluon

使用MXNet的动态图接口Gluon实现Char RNN生成古诗和周杰伦的歌词

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Deep-Feature-Flow

Deep Feature Flow for Video Recognition

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deep-residual-networks

Deep Residual Learning for Image Recognition

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DeepDeblur_release

Deep Multi-scale CNN for Dynamic Scene Deblurring

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Deformable-ConvNets

Deformable Convolutional Networks

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dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

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Factorized-Bilinear-Network

FBN: Factorized Bilinear Models for Image Recognition

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FCIS

Fully Convolutional Instance-aware Semantic Segmentation

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gluon-tutorials-zh

通过MXNet/Gluon来动手学习深度学习

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GOTURN

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

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insightface

Face Recognition Project on MXNet

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Learning_ROS_for_Robotics_Programming_2nd_edition

Code and examples for Learning ROS for Robotics Programming - 2nd Edition

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mxbox

Simple, efficient and flexible vision toolbox for mxnet framework.

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mxnet-gan

MultiGPU enabled image generative models (GAN and DCGAN)

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MXNet2Caffe

Convert MXNet model to Caffe model

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MXNetToCaffeConverter

Code to convert a MXNet model into Caffe (C++)

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OpenBLAS

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

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openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

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pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

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rgbdslam_v2

RGB-D SLAM for ROS

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tensorflow

Computation using data flow graphs for scalable machine learning

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tinyflow

Tutorial code on how to build your own Deep Learning System in 2k Lines

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tvm

End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares

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