Home Projects awesome-knowledge-distillation
awesome-knowledge-distillation
co-training

awesome-knowledge-distillation

Awesome Knowledge Distillation

by dkozlov · GitHub
Stars
Forks
License
Created
Last commit
Category
co-trainingdeep-learningdistillationApache-2.0
View on GitHub
In plain words

Explore a collection of research papers on knowledge distillation and related machine learning techniques.

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 →
awesome-knowledge-distillation — GitHub preview card
📈 Star history
3 8903 887
2026-07-072026-08-31
📈 Track awesome-knowledge-distillation

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Awesome Knowledge Distillation

awesome-knowledge-distillation has 3.9k stars on GitHub. It has been forked 512 times. It has been in active development since 2017. awesome-knowledge-distillation is available under the Apache-2.0 license. Its main topics are co-training, deep-learning, distillation, distillation-model.

Frequently asked questions

What is awesome-knowledge-distillation?

Awesome Knowledge Distillation

Is awesome-knowledge-distillation open source?

awesome-knowledge-distillation is an open-source project. It is released under the Apache-2.0 license.

Is awesome-knowledge-distillation free?

Yes. awesome-knowledge-distillation is free and open source — you can use, modify and self-host it.

What license does awesome-knowledge-distillation use?

awesome-knowledge-distillation is available under the Apache-2.0 license.

🏅 Maintainer of this project?
olud.ai badge — awesome-knowledge-distillation

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

[![olud.ai](https://olud.ai/badge.php?tool=dkozlov-awesome-knowledge-distillation)](https://olud.ai/project/dkozlov-awesome-knowledge-distillation.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.