awesome-mlops
A curated list of tools, frameworks, platforms, and resources for Machine Learning Operations (MLOps).
https://github.com/awesomelistsio/awesome-mlops
Last synced: 1 day ago
JSON representation
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CI/CD for ML
- ZenML - ready pipelines.
- Kubeflow Pipelines - to-end ML workflows on Kubernetes.
- Flyte
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General Resources
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Model Development & Experiment Tracking
- MLflow - source platform for managing the ML lifecycle, including experimentation and reproducibility.
- Neptune.ai
- Sacred
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Model Deployment
- Seldon Core
- KFServing (KServe) - based model serving with autoscaling and inference graph support.
- BentoML
- MLServer
- Triton Inference Server
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Model Monitoring
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Model Governance & Fairness
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Frameworks & Platforms
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Courses & Learning
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Related Awesome Lists
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Data Versioning & Management
- DVC (Data Version Control) - like version control for datasets and ML pipelines.
- LakeFS - like operations for data lakes.
- Delta Lake
- Pachyderm
- Feast
Programming Languages
Categories
Sub Categories
Keywords
machine-learning
8
mlops
6
production-machine-learning
2
machine-learning-operations
2
model-monitoring
2
python
2
awesome-list
2
model-serving
2
awesome
2
xgboost
2
llmops
2
kubernetes
2
llm-inference
2
llm
2
generative-ai
2
deep-learning
2
genai
1
istio
1
artificial-intelligence
1
k8s
1
knative
1
kserve
1
kubeflow
1
model-interpretability
1
pytorch
1
pandas-dataframe
1
jupyter-notebook
1
html-report
1
data-validation
1
data-science
1
data-quality
1
data-drift
1
multimodal
1
model-inference-service
1
ml-engineering
1
llm-serving
1
inference-platform
1
ai-inference
1
kfserving
1
lightgbm
1
mlflow
1
scikit-learn
1
seldon-core
1
aiops
1
deployment
1
serving
1
infrastructure
1
mongodb
1
reproducibility
1
reproducible-research
1