
attention-transfer
by szagoruyko (personal account)
Improving Convolutional Networks via Attention Transfer (ICLR 2017) (description from the project’s GitHub page)
Repository facts
- Stars
- 1,465
- Forks
- 273
- Open issues and pull requests
- 13
- Primary language
- Jupyter Notebook
- License
- No license file detected
- Owner
- szagoruyko · Personal account
- Created
- Jan 17, 2017
- Last push
- Jul 11, 2018
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 2,884: gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention m…
2,688 starsJupyter NotebookMITLast push Nov 17, 2022
Rank 5,672: gordicaleksa/pytorch-original-transformer
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currentl…
1,117 starsJupyter NotebookMITLast push Dec 27, 2020
Rank 3,414: alibaba/EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
2,187 starsPythonApache-2.0Last push Nov 27, 2024
Rank 4,673: microsoft/NeuronBlocks
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
1,456 starsPythonMITLast push Jul 22, 2023
Rank 6,540: megvii-research/mdistiller
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.…
899 starsPythonNo license file detectedLast push Nov 5, 2023
Rank 835: jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
9,817 starsPythonMITLast push Apr 16, 2024