A curated list of awesome open source and commercial platforms for serving models in production 🚀
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Updated
Apr 20, 2022
A curated list of awesome open source and commercial platforms for serving models in production 🚀
Collection of OSS models that are containerized into a serving container
Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
Miscellaneous codes and writings for MLOps
Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
Big ML Project with infrastructure (MLflow, Minio, Grafana), backend (FastAPI, Catboost) and frontend (React, Maplibre)
Applied Machine Learning Projects
🌐 Language identification for Scandinavian languages
Resources for serving models in production
Heterogeneous System ML Pipeline Scheduling Framework with Triton Inference Server as Backend
Example solution to the MLOps Case Study covering both online and batch processing.
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