xinzhuang's repositories
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
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
navi2world
The navigation page to the digital world.
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
PersonRelationship
关于人物关系的资料整理
ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
recommenders
Best Practices on Recommendation Systems
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.