GitHub / deep-diver / semantic-segmentation-ml-pipeline
Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
Stars: 95
Forks: 22
Open issues: 3
License: apache-2.0
Language: Jupyter Notebook
Size: 150 MB
Dependencies parsed at:
32
Created at: over 2 years ago
Updated at: 3 months ago
Pushed at: almost 2 years ago
Last synced at: 17 days ago
Topics: mlops, semantic-segmentation, tensorflow, tfx, vertex-ai
requirements.txt
pypi
- PyGithub *
- huggingface-hub *
- keras-tuner *
- kfp *
- pytest *
- tensorflow-cloud *
- tfx ==1.9.1
- wget *
- datasets ==2.4.0
- jupyter ==1.0.0
- pillow ==9.2.0
- tensorflow ==2.9.1
- transformers ==4.21.2
- datasets ==2.3.2
- matplotlib ==3.5.2
- numpy ==1.23.0
- pillow ==9.1.1
- tensorflow ==2.9.0
- torch ==1.12.0
- actions/checkout v2.4.2 composite
- actions/setup-python v4 composite
- google-github-actions/auth v0 composite
- google-github-actions/setup-gcloud v0 composite
.github/workflows/ci.yml
actions
- actions/checkout v2.4.2 composite
- actions/setup-python v4 composite
- dorny/paths-filter v2 composite
training_pipeline/Dockerfile
docker
- tensorflow/tfx 1.9.1 build
- huggingface-hub *
- kfp *
- pillow *
- pytest *
- tfx *