NLP-With-PyTorch
D2L_Attention_Mechanisms_in_TF
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NLP-With-PyTorch
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Convolutional Sequence to Sequence
Pytorch implementation to this can be found here
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?
chappie.ai - Generalized AI to perform a multitude of tasks written in python3
TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
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!
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
gpt-mini - Yet another minimalistic Tensorflow (re-)re-implementation of Karpathy's Pytorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer).