omihub777/MLP-Mixer-CIFAR
PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from scratch.
PythonMIT
Stargazers
- 3neutronstarKorea Institute of Science and Technology
- byin-cwi
- ckswjd99Seoul National University
- dunchenRice Univerisity
- JordanFreconLabHC, Telecom Saint-Etienne
- Lopez-AngelJapan
- Lyle-xub
- lzcemma
- meicale瑞雪兆丰念
- MouseHuBeijing
- ntlm1686Buffalo, NY
- omihub777
- oshapioTübingen, Germany
- Ottovonxu
- powergiant
- roydenwaKIT
- shishuhui-hit
- sjelassi
- TomasGadeaDribia
- vothaianh1997
- X-McKayBrooklyn | Seattle
- xidulu@UMass
- yaolubrainPeking University
- yilingo
- yuchongy1University of Melbourne