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brnaguiar
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mlops-next-watch
MLOps project that recommends movies to watch implementing Data Engineering and MLOps best practices.
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Bump mlflow from 2.6.0 to 2.14.2 in /docker/mlflow
#21
dependabot[bot]
opened
3 months ago
0
Use lighter runtimes when doing real-time inferences
#20
brnaguiar
closed
1 year ago
1
Create data integrity / validation checks
#19
brnaguiar
closed
1 year ago
1
Study the possibility to use Ray Serving
#18
brnaguiar
closed
1 year ago
0
Add Kafka + Spark Stream for FastAPI <-> Spark
#17
brnaguiar
closed
1 year ago
1
Can't load Spark Model with MLFlow in standalone/cluster mode
#16
brnaguiar
closed
1 year ago
0
Implement bach inference
#15
brnaguiar
closed
1 year ago
0
Fix Pandas to S3: Access Denied
#14
brnaguiar
closed
1 year ago
0
Add data versioning control
#13
brnaguiar
closed
1 year ago
0
libp11-kit.so.0: undefined symbol: ffi_type_pointer, version libffi_base_7.0
#12
brnaguiar
closed
1 year ago
0
Add Evidently AI for data drift detection
#11
brnaguiar
closed
1 year ago
0
Add CI/CD ((Jenkins or Github Actions) for pipeline automation
#10
brnaguiar
closed
1 year ago
2
Add healthchecker to docker compose services
#9
brnaguiar
closed
1 year ago
0
Use Feature Stores to store curated data and lineage data
#8
brnaguiar
closed
1 year ago
2
Do Metadata and lineage collection on the entire project lifecycle
#7
brnaguiar
closed
1 year ago
1
Add job schedulers and orchestrators for data pipelines
#6
brnaguiar
closed
1 year ago
1
Update `Makefike`
#5
brnaguiar
closed
1 year ago
1
`mlflow.spark.log_model` sends s3 calls, which is not supported anymore in hadoop
#4
brnaguiar
closed
1 year ago
2
Support Distributed HyperParameter Optimization using DBFS
#3
brnaguiar
closed
1 year ago
3
Experiment Tracking
#2
brnaguiar
closed
1 year ago
4
Python project setup tools
#1
brnaguiar
closed
1 year ago
2