Wassryan (wassryan)

wassryan

Geek Repo

Company:Megvii (Face++)

Location:Beijing, China

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Wassryan's repositories

Awesome-Stereo-Mathcing

This is a list of awesome paper about stereo matching and related work.

Deeplidar_v2

Implementation_v2 of DeepLiDAR(CVPR2019)

iWildCam_2020_FGVC7

Top 3% (3/126) solution for iWildCam 2020 competition, CVPR2020 workshop

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ARC_Face

This is a face recognition system using arcsoft sdk

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FaceGuard

This is a refined real-time face guard system, including registration and recognition.

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iMaterialist2020

This is a segmentation framework modified from MaskRCNN.

CARLA_3DSSD

This repo contains the 3D detector training on KITTI/CARLA dataset, 3D detector application in CARLA under autopilot mode and visualization

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kitti_vis_tool

The code is used to visualized the prediction result in kitti format

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darknet

Convolutional Neural Networks

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deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

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Deformable-ConvNets

Deformable Convolutional Networks

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eos

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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faster-rcnn-resnet

ResNet Implementation for Faster-rcnn

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LEAStereo

An end-to-end nas stereo matching network.

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mmdetection

Open MMLab Detection Toolbox and Benchmark

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moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

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mx-maskrcnn

An MXNet implementation of Mask R-CNN

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mx-rcnn

Parallel Faster R-CNN implementation with MXNet.

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pva-faster-rcnn

Demo code for PVANet

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py-faster-rcnn-resnet-imagenet

Faster RCNN with ResNet for ImageNet Detection

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py-R-FCN

R-FCN with joint training and python support

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pytorch-cifar

95.16% on CIFAR10 with PyTorch

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pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

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RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

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wassryan.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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