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gongxiaobo2006's Projects

koalas icon koalas

Koalas: pandas API on Apache Spark

luminoth icon luminoth

⚠️ UNMAINTAINED. Deep Learning toolkit for Computer Vision.

manim icon manim

Animation engine for explanatory math videos

njucs_course_material_jathoicheung icon njucs_course_material_jathoicheung

南京大学 NJU 计算机系 CS 课程资料 作业 代码 实验报告(数据挖掘 模式识别 机器学习导论 概率论与数理统计 计算机图形学 高级程序设计 数据库 计算机系统基础 操作系统 程设实验 数电 数电实验... ) 更新中, star! :star2:

pandas-videos icon pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

pkuseg-python icon pkuseg-python

python版本:领域细分的中文分词工具,简单易用,跟现有开源工具相比提高了分词的准确率。

play-with-machine-learning-algorithms icon play-with-machine-learning-algorithms

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pydataroad icon pydataroad

open source for wechat-official-account (ID:PyDataRoad)

pyflux icon pyflux

Open source time series library for Python

pynlpl icon pynlpl

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

python icon python

All Algorithms implemented in Python

pythonplotlycodes icon pythonplotlycodes

《Python 数据分析:基于 Plotly 的动态可视化绘图》 源代码

quantecon.py icon quantecon.py

A community based Python library for quantitative economics

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