Home Projects class-balanced-loss
class-balanced-loss

class-balanced-loss

by richardaecn · GitHub

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

# cloud-tpu# computer-vision# cvpr# cvpr2019
View on GitHub
⭐ Stars
615
🍴 Forks
68
📜 License
MIT
Commercial use OK
📅 Created
2018
🔄 Last commit
4 yr ago
🏷️ Category
cloud-tpu
💻 Language
You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
class-balanced-loss — GitHub preview card
📈 Star history
616615
2026-07-202026-07-21
📄 About

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Frequently asked questions

What is class-balanced-loss?

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Is class-balanced-loss open source?

class-balanced-loss is an open-source project. It is released under the MIT license.

Is class-balanced-loss free?

Yes. class-balanced-loss is free and open source — you can use, modify and self-host it.

🏅 Maintainer of this project?
OpenSourceAI badge — class-balanced-loss

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![OpenSourceAI](https://opensourceai.tech/badge.php?tool=richardaecn-class-balanced-loss)](https://opensourceai.tech/project/richardaecn-class-balanced-loss.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.