中原 (mathanzy)

mathanzy

Geek Repo

Company:China Academy of Railway Sciences

Location:Haidian District,Beijing

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中原's repositories

lapack

LAPACK development repository

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HutchPlusPlus

Code for Hutch++: Optimal Stochastic Trace Estimation

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

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pyecharts

🎨 Python Echarts Plotting Library

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pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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autokeras

Accessible AutoML for deep learning.

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Office_Automation_by_Using_Python

Office Automation by Using Pythonf (For Excel, Word, PPT and PDF .....)

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web_develop

《Python Web开发实战》书中源码

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awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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generate-product-info-label

Automatically generate product information in Excel by using python openpyxl

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flask

The Python micro framework for building web applications.

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ottertune

The automatic DBMS configuration tool

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movie_project

flask构建弹幕微电影系列源码+教程(已上线)

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simple_tensorflow_serving

Generic and easy-to-use serving service for machine learning models

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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wtfpython-cn

wtfpython的中文翻译/施工结束/ 能力有限,欢迎帮我改进翻译

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LED_OCR

OCR for LED

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my_interface

just a interface

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Station_Django

A web program for showing the paragraph or tables which is written by the framework of Django and echarts.

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jquery

jQuery JavaScript Library

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nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning. https://microsoft.github.io/nni/

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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BossSensor

Hide screen when boss is approaching.

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keras-retinanet

Keras implementation of RetinaNet object detection.

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chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

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wtfpython

A collection of surprising Python snippets and lesser-known features.

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