dmarx/dmarx-github-stars huggingface dataset:
Repository: Netflix/metaflow
Description: :rocket: Build and manage real-life ML, AI, and data science projects with ease!
Language: Python
Topics: ai, aws, azure, data-science, datascience, gcp, high-performance-computing, kubernetes, machine-learning, ml, ml-infrastructure, ml-platform, mlops, model-management, productivity, python, r, r-package, reproducible-research, rstats
Homepage: https://metaflow.org
Repository: flyteorg/flyte
Description: Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Language: Go
Topics: data, data-analysis, data-science, dataops, declarative, fine-tuning, flyte, golang, grpc, kubernetes, kubernetes-operator, llm, machine-learning, mlops, orchestration-engine, production, production-grade, python, scale, workflow
Homepage: https://flyte.org
Repository: zenml-io/zenml
Description: ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Language: Python
Topics: ai, automl, data-science, deep-learning, devops-tools, hacktoberfest, llm, llmops, machine-learning, metadata-tracking, ml, mlops, pipelines, production-ready, pytorch, tensorflow, workflow, zenml
Homepage: https://zenml.io