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Micah Hiller's Projects

aic2020_reid icon aic2020_reid

Implementation of Vehicle Re-Identification Based on Complementary Features for 2020 AICity Challenge Track2

aicity-reid-2020 icon aicity-reid-2020

:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)

albumentations icon albumentations

fast image augmentation library and easy to use wrapper around other libraries

algorithm-pattern icon algorithm-pattern

算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

bilibili-plus icon bilibili-plus

课程视频、PPT和源代码:侯捷C++系列;台大郭彦甫MATLAB

caffe-model icon caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

centerx icon centerx

This repo is implemented based on detectron2 and centernet

copytranslator icon copytranslator

Foreign language reading and translation assistant based on copy and translate.

cs-notes icon cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

cvwc2019-amur-tiger-re-id icon cvwc2019-amur-tiger-re-id

:trophy: Code for 1st Place Soluition in both the Tiger Re-ID in the plain track and Tiger Re-ID in the wild track (CVWC) @ ICCV19 Workshop.

dasiamrpn icon dasiamrpn

[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

dcgan icon dcgan

A Tensorflow Implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dhsegment icon dhsegment

Generic framework for historical document processing

fastai icon fastai

The fastai deep learning library, plus lessons and and tutorials

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