xinzhuang

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

activityrecognition

Information about activity recognition

AI-ML

Tutorials ,resources about AI ,ML

AppChurn

Applied-Social-Network-Analysis-in-Python

Course - 5; Specialization: Applied Data Science with Python; University Of Michigan

Awesome-LLM-RAG-Application

the resources about the application based on LLM with RAG pattern

bert4keras

light reimplement of bert for keras

COVID-19-traces-Knowledge-Graph

COVID-19(2019-nCoV) traces data Knowledge Graph

dataScience2017

Some tests on datamining

hello

Come on a new start.

KGQA_HLM

基于知识图谱的《红楼梦》人物关系可视化及问答系统

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

myGitTest

navi2world

The navigation page to the digital world.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

open-data

公开数据集及使用案例的汇总

PersonRelationship

关于人物关系的资料整理

PyCINRAD

Decode CINRAD (China New Generation Weather Radar) data and visualize.

pytorch-model

ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

recommenders

Best Practices on Recommendation Systems

samplemod

Sample module for Python-Guide.org.

scala-style-guide

Databricks Scala Coding Style Guide

scipy-2017-sklearn

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

SNABook-code

Social Network Analysis,forked from https://github.com/maksim2042/SNABook

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

Urban-Computing

watchlist

Example application for flask tutorial "Flask 入门教程".

xinzhuang.github.io

YEDDA

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.