mlops

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

CDF SIG MLOps

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

A curated list of open source tools used in analytics platforms and data engineering ecosystem

Just enough Kubernetes for you to fly

Deliver safe & effective language models

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations

Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

Examples for Cerebrium Serverless GPUs

skops is a Python library helping you share your scikit-learn based models and put them in production

Monitor the stability of a Pandas or Spark dataframe ⚙︎