#ModelServing #Tools #Frameworks #CI #CD
Model serving tools:
https://www.kubeflow.org/
https://docs.bentoml.org/en/latest/
https://developer.nvidia.com/nvidia-triton-inference-server
https://mlflow.org/
https://www.cortex.dev/
Comparison https://www.datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow
Model serving tools:
https://www.kubeflow.org/
https://docs.bentoml.org/en/latest/
https://developer.nvidia.com/nvidia-triton-inference-server
https://mlflow.org/
https://www.cortex.dev/
Comparison https://www.datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow
Experiment management #ModelServing #Frameworks #CI #CD
https://losswise.com/
https://www.comet.ml/site
https://www.wandb.com/
https://www.mlflow.org/docs/latest/tracking.html#tracking
https://losswise.com/
https://www.comet.ml/site
https://www.wandb.com/
https://www.mlflow.org/docs/latest/tracking.html#tracking
Losswise
Losswise: Continuous Integration for Machine Learning
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Deep Learning pinned «#TOC — #Library — #Frameworks — #Tools — #ModelServing — #Paper — #CI #CD — #Models»