efficient_densenet_pytorch
by gpleiss · GitHub
A memory-efficient implementation of DenseNets
# deep-learning# densenet# pytorch
⭐ Stars
1.5k
🍴 Forks
321
📜 License
MIT
Commercial use OK📅 Created
2017
🔄 Last commit
3 yr ago
🏷️ Category
deep-learning
💻 Language
You maintain this project?
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
📈 Star history
2026-07-202026-07-22
📄 About
A memory-efficient implementation of DenseNets
❓ Frequently asked questions
What is efficient_densenet_pytorch?
A memory-efficient implementation of DenseNets
Is efficient_densenet_pytorch open source?
efficient_densenet_pytorch is an open-source project. It is released under the MIT license.
Is efficient_densenet_pytorch free?
Yes. efficient_densenet_pytorch is free and open source — you can use, modify and self-host it.
🏅 Maintainer of this project?
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/gpleiss-efficient-densenet-pytorch.html)
🧬 Shares DNA with
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
★ 1.2k · attention-mechanism
sharesdensenet
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
★ 6.2k · deep-learning
sharespytorch
DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
★ 3.8k · deep-learning
sharespytorch
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.