A clean PyTorch implementation of the original Transformer model + A German -> English translation example
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Jan 24, 2022 - Python
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multi30k
Here are 10 public repositories matching this topic...
Cross-lingual Visual Pre-training for Multimodal Machine Translation
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Dec 28, 2021 - Python
Neural Machine Tranlation using Local Attention
python
python3
attention
nmt
attention-mechanism
encoder-decoder
encoder-decoder-model
local-attention
multi30k
iwslt
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Jan 7, 2019 - Jupyter Notebook
The Transformer model implemented from scratch using PyTorch. The model uses weight sharing between the embedding layers and the pre-softmax linear layer. Training on the Multi30k machine translation task is shown.
deep-learning
machine-translation
pytorch
transformer
shared-embedding
multi-head-attention
multi30k
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Jul 23, 2023 - Python
[KDD 2024] Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
retrieval
wit
cross-modal
cross-lingual
mscoco
multi30k
image-text-search
cross-modal-retrieval
xlm-roberta
swin-transformer
cross-lingual-retrieval
image-text-retrieval
vision-language-pretraining
iglue
xflickrco
kdd2024
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Jul 18, 2024 - Python
Full training pipeline of attention model for machine translation task with PyTorch
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Jul 25, 2024 - Python
English-To-German Neural Machine Translation Using Transformer
nlp
natural-language-processing
machine-translation
transformer
neural-machine-translation
text-processing
multi30k
pytorch-lightning
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Aug 17, 2023 - Jupyter Notebook
A basic seq2seq transformers model trained and validated on the Multi30k dataset.
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Updated
Aug 8, 2024 - Python
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