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-top1-

CCF大数据与计算智能大赛-工件检测TOP1方案

amazing-feature-engineering

awesome-gis

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

books

运维之道

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

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

deeplearning-with-tensorflow-notes

龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

docs

TensorFlow documentation

engine

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

harmonyos

A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。

hon

Home Assistant integration for Haier hOn: support for Haier/Candy/Hoover home appliances like washing machines and air conditioners in 19 languages.

joyful-pandas

Pandas中文教程

labview_book

LabVIEW 编程经验

math

以现在人的努力程度之低，还谈不到拼天赋的时候

nlp-interview-notes

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

numpy-ml

Machine learning, in numpy

orb_slam

A Versatile and Accurate Monocular SLAM

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pyhanlp

中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

pyhon

Control hOn devices with python

randomforestclassification-with-tensorflow

Code for running Random Forest Classification over a dataset of adults earning over and under $50,000.

sklearn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

slambook2

edition 2 of the slambook

svr--decision-trees--random-forests--deepneuralnets--to-predict-forest-fires

This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)