GitHub / ajithvcoder / emlo4-session-10-ajithvcoder
Auto Github ECR push, CML to trigger EC2 spot, DVC Repro S3 storage using github actions, Deploy using Gradio to hugging face spaces - The School of AI EMLO-V4 course assignment https://theschoolof.ai/#programs
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajithvcoder%2Femlo4-session-10-ajithvcoder
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 2.37 MB
Dependencies parsed at:
50
Created at: 6 months ago
Updated at: 4 months ago
Pushed at: 6 months ago
Last synced at: 3 months ago
Topics: aws-ecr, aws-s3, ci-cd-pipeline, github-actions, gradio, huggingface-spaces, train-test
- actions/checkout v4 composite
- docker/build-push-action f2a1d5e99d037542a71f64918e516c093c6f3fc4 composite
- docker/login-action 65b78e6e13532edd9afa3aa52ac7964289d1a9c1 composite
- docker/metadata-action 9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7 composite
- actions/checkout v4 composite
- actions/upload-artifact v3 composite
- docker/login-action 65b78e6e13532edd9afa3aa52ac7964289d1a9c1 composite
- docker/setup-buildx-action v2 composite
- actions/checkout v4 composite
- astral-sh/setup-uv v2 composite
- iterative/setup-cml v2 composite
- NextChapterSoftware/ec2-action-builder v1.10 composite
- actions/checkout v3 composite
- aws-actions/amazon-ecr-login v1 composite
- aws-actions/configure-aws-credentials v1 composite
- iterative/setup-cml v2 composite
- actions/checkout v3 composite
- aws-actions/amazon-ecr-login v1 composite
- aws-actions/configure-aws-credentials v1 composite
- iterative/setup-cml v2 composite
- pytorch/pytorch 2.3.1-cuda11.8-cudnn8-runtime build
- aim >=3.25.0
- black >=24.8.0
- comet_ml ==3.47.0
- coverage ==7.6.3
- dvc >=3.55.2
- dvc [gs]
- dvc [s3]>=3.2.0
- dvc-gdrive >=3.0.1
- gdown ==5.2.0
- hydra-core ==1.3.0
- hydra-joblib-launcher >=1.2.0
- hydra-optuna-sweeper >=1.2.0
- lightning [extra]==2.4.0
- loguru >=0.7.2
- matplotlib ==3.9.2
- mlflow >=2.17.0
- pandas ==2.2.3
- pytest ==8.3.3
- pytest-cov ==5.0.0
- pytest-dependency ==0.6.0
- pytest-order ==1.3.0
- pytest-ordering ==0.6
- python-dotenv ==1.0.1
- rich >=13.8.1
- rootutils ==1.0.7
- scikit-learn ==1.5.2
- tabulate ==0.9.0
- tensorboard ==2.17.1
- timm ==1.0.9