A repo for the tutorial explaining the benefits of DVC and DAGsHub, using digit classification based on the MNIST database as an example problem

nikx.gupta 5f38e0c23d Add 'microsoft code' 1 week ago
.dvc 92c319cd1a Initialized project 8 months ago
code 310e107039 Experiment with CNN model 8 months ago
data 5a46bcaea4 Trained basic multiclass SVM model 8 months ago
metrics 310e107039 Experiment with CNN model 8 months ago
.gitignore 92c319cd1a Initialized project 8 months ago
Dvcfile 310e107039 Experiment with CNN model 8 months ago
LICENSE e298f700fa Added Apache 2.0 license 8 months ago
README.md ed9287e7af Added a readme 8 months ago
featurization.dvc 72c554bf8c Update 'featurization.dvc' 2 weeks ago
microsoft code 5f38e0c23d Add 'microsoft code' 1 week ago
requirements.txt 310e107039 Experiment with CNN model 8 months ago
test_data.csv.dvc e327914a27 Update 'test_data.csv.dvc' 2 weeks ago
train_data.csv.dvc de194f44b6 Update 'train_data.csv.dvc' 2 weeks ago
training.dvc 310e107039 Experiment with CNN model 8 months ago

Data Pipeline

Legend
DVC Managed File
Git Managed File
Metric
Stage File
External File

README.md

DAGsHub MNIST Tutorial

This repo serves as an example of how to use DVC and DAGsHub.

Please follow the tutorial instructions for more information.