Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Integration:  dvc git
c0bad2f200
Initial commit
1 year ago
1 year ago
c0bad2f200
Initial commit
1 year ago
ec53a1c7dd
Upload model
1 year ago
cf1db2eedc
Update 'README.md'
1 year ago
13f85b87b4
Upload metadata
1 year ago
ba1ec195ca
update data upload script
1 year ago
9d2e4f55ed
Upload model
1 year ago
76988e7da1
Update 'requirements.txt'
1 year ago
Storage Buckets
Data Pipeline
Legend
DVC Managed File
Git Managed File
Metric
Stage File
External File

README.md

You have to be logged in to leave a comment. Sign In

Gender Classification

Instructions

This repo introcudes how I train a sample gender classification by leveraging DagsHub features (DagsHub Storage, Direct Data Access, Experiment Tracking).

Before trianing a model, we need to upload sample audios files to DagsHub via Direct Data Access (DDA). This notebook shows how can I upload data from local to DagsHub. Later on, you may follow this notebook to see how do I use PyTorch and ResNet to train a gender classification from audio clips.

Made with 🐶 by DAGsHub.

Tip!

Press p or to see the previous file or, n or to see the next file

About

No description

Collaborators 1

Comments

Loading...