Miscellaneous codes and writings for MLOps
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Updated
Jul 3, 2024 - Jupyter Notebook
Miscellaneous codes and writings for MLOps
Example solution to the MLOps Case Study covering both online and batch processing.
Big ML Project with infrastructure (MLflow, Minio, Grafana), backend (FastAPI, Catboost) and frontend (React, Maplibre)
Collection of OSS models that are containerized into a serving container
Heterogeneous System ML Pipeline Scheduling Framework with Triton Inference Server as Backend
Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
A curated list of awesome open source and commercial platforms for serving models in production 🚀
Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
🌐 Language identification for Scandinavian languages
Applied Machine Learning Projects
Resources for serving models in production
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