90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

anomaly-detection

awesome-ai-kubernetes

:snowflake: :whale: Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cml-ci-cd

credit-fraud-detection

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dvc-cml

dvc-cml-ml

CI/CD pipeline with DVC, CML and Github Action

dynamic-link-prediction

Reddit post recommendation

example_cml

fraud-detection

hot-picked-model

intro-pytorch

Introduction to Pytorch

k8s-on-the-go

Practice K8S

kubernetes-mlops

MLOps tutorial using Python, Docker and Kubernetes.

machine-learning-on-kubernetes

Machine Learning on Kubernetes, published by packt

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-seldon-core

mlflow

Machine Learning/Deep Learning with MLflow

mlflow-docker-compose

MLflow deployment with 1 command

mlflow-example

An example MLflow project

mlops-cicd

mlops-platforms

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

notebooks

Notebooks using the Hugging Face libraries 🤗

openmlops

phamthanhtu310702

poolformer

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

practical-deep-learning-at-scale-with-mlflow

Practical Deep Learning at Scale with MLFlow, published by Packt