xzenggit

gpt4all

GPT4All: Chat with Local LLMs on Any Device

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.

selenium

A browser automation framework and ecosystem.

netron

Visualizer for neural network, deep learning and machine learning models

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.

facets

Visualizations for machine learning datasets

awesome-workflow-engines

A curated list of awesome open source workflow engines

MLOps-Basics

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

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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

dtu_mlops

Exercises and supplementary material for the machine learning operations course at DTU.

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.

Herbie

Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

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