TokenCut
D2L_Attention_Mechanisms_in_TF
| TokenCut | D2L_Attention_Mechanisms_in_TF | |
|---|---|---|
| 1 | 7 | |
| 285 | 12 | |
| - | - | |
| 1.2 | 0.0 | |
| about 1 year ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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TokenCut
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[R][P] Self-supervised Transformers for Unsupervised Object Discovery using Normalized Cut + Hugging Face Spaces Gradio Demo
github: https://github.com/YangtaoWANG95/TokenCut
D2L_Attention_Mechanisms_in_TF
- [P] Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.
- Project [P] Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.
- Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.
- [P] Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book. Github link: https://github.com/biswajitsahoo1111/D2L_Attention_Mechanisms_in_TF
What are some alternatives?
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 mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
NLP-With-PyTorch - My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques.
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
gpt-mini - Yet another minimalistic Tensorflow (re-)re-implementation of Karpathy's Pytorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer).
nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.