Pinned Repositories
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
Algorithms
Source code for Coursera course - Algorithms from Princeton University
algs4
Algorithms, 4th edition textbook code and libraries
android-coursera-course
Assignment lab code
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions
GenericComparator
A generic comparator class to sort a list of objects by specified field in specified order.
stonefl's Repositories
stonefl/GenericComparator
A generic comparator class to sort a list of objects by specified field in specified order.
stonefl/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
stonefl/azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions
stonefl/BitTigerLab
沁原的硅谷创新课
stonefl/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
stonefl/DataflowTemplates
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks
stonefl/deploy_ml_models_to_aks
stonefl/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
stonefl/eng-practices
Google's Engineering Practices documentation
stonefl/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
stonefl/geektime-ELK
ELK Training
stonefl/Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
stonefl/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.
stonefl/ignite-learning-paths-training-afun
Microsoft Ignite Learning Path, Train the Trainer materials: Azure Fundamentals
stonefl/langchain-tutorials
Overview and tutorial of the LangChain Library
stonefl/LearningHadoop2
stonefl/MavenTutorial
Tutorials for Apache Maven
stonefl/microservices-book
Source code for book Microservices for Java Developers - 2nd edition
stonefl/mslearn-tailspin-spacegame-web
Code used in Microsoft Learn modules to support Azure DevOps
stonefl/mslearn-tailspin-spacegame-web-deploy
Code used in Microsoft Learn modules to support Azure DevOps
stonefl/osrm-py
Python client for OSRM API
stonefl/pdf-merger
a python program to merge multiple PDF files into one.
stonefl/professional-services
Common solutions and tools developed by Google Cloud's Professional Services team
stonefl/python-data-structures-and-algorithms
A book on data stuctures and algorithms in Python
stonefl/python-osrm
A Python wrapper around the OSRM API
stonefl/SparkExamples
example WordCount application build with Scala IDE, SBT and Maven
stonefl/splunk-gcp-functions
stonefl/stonefl
Config files for my GitHub profile.
stonefl/stonefl.github.io
Lei Feng Website https://stonefl.github.io/
stonefl/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).