Xiangming Zeng's starred repositories
kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
mlops-zoomcamp
Free MLOps course from DataTalks.Club
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
awesome-workflow-engines
A curated list of awesome open source workflow engines
llm-numbers
Numbers every LLM developer should know
ml-glossary
Machine learning glossary
terraform-up-and-running-code
Code samples for the book "Terraform: Up & Running" by Yevgeniy Brikman
Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
you-dont-need-a-bigger-boat
An end-to-end implementation of intent prediction with Metaflow and other cool tools
ml-design-docs
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Artificial-Intelligence-And-Data-Science-Pro
Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet
mlops-platforms
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
sagemaker-inference-toolkit
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
AIforEarthDataSets
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
deploy-streamlit-on-fargate-with-aws-cdk
This repo will teach you how to deploy an ML-powered web app to AWS Fargate from start to finish using Streamlit and AWS CDK
mlflow-talk
End to End example integrating MLFlow and Seldon Core
sagemaker-workshop
AWS Workshop for learning Amazon Sagemaker
DTC-MLOps-Zoomcamp
To track progress during the MLOps Zoomcamp, conducted by DataTalks.Club