Shiwei Hou (murdockhou)

murdockhou

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Location:HangZhou

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Shiwei Hou's repositories

lightweight_openpose

A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)

Single-Stage-Multi-person-Pose-Machines

A tensorlfow implementation about arxiv paper "Single-Stage Multi-Person Pose Machines" (SPM)

MultiPoseNet-tensorflow

The TensorFlow implementation about Paper accepted on ECCV 2018

MachineLearning

Machine Learning in Action(机器学习实战)

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gluon-tutorials-zh

通过MXNet/Gluon来动手学习深度学习

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interview_internal_reference

2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

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Triangulation

利用pcl点云库函数对pcd文件的点云进行一些处理

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58HouseSearch

58City House Crawler on Amap

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ai-edu

AI education materials for Chinese students, teachers and IT professionals.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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CppPrimer

:books: C++ Primer 5 exercise answers.

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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DeepInterests

深度有趣

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Grokking-Deep-Learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

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lintcode

LintCode题解,LintCode是LeetCode.com网站的增强版,题目更优质,覆盖知识点更多

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resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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tensorflow-docs

TensorFlow 最新官方文档中文版 V1.9

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tensorflow-eager-tutorials

Simple tutorials for building neural networks with TensorFlow Eager mode.

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