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zuoxiaofan's Projects

ada-2017-welfare icon ada-2017-welfare

Applied Data Analytics training program focused on return to social benefit programs

ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

awesome-r icon awesome-r

A curated list of awesome R packages, frameworks and software.

chinese-annotator icon chinese-annotator

Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具

courseraml icon courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

crfpp icon crfpp

CRF++: Yet Another CRF toolkit

deep_text_matching icon deep_text_matching

implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, albert, raberta

dive-into-dl-pytorch icon 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。

doccano icon doccano

Open source text annotation tool for machine learning practitioner.

geoda icon geoda

GeoDa: An introduction to spatial data analysis

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

harvesttext icon harvesttext

文本挖掘和预处理工具(文本清洗、新词发现、情感分析、实体识别链接、句法分析等),无监督或弱监督(种子词)方法

linearmodels icon linearmodels

Add linear models including instrumental variable and panel data models that are missing from statsmodels.

ner icon ner

基于tensorflow深度学习的中文的命名实体识别

pumpkin-book icon 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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