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Title: GitHub - HKUNLP/reparam-discrete-diffusion: Reparameterized Discrete Diffusion Models for Text Generation · GitHub

Open Graph Title: GitHub - HKUNLP/reparam-discrete-diffusion: Reparameterized Discrete Diffusion Models for Text Generation

X Title: GitHub - HKUNLP/reparam-discrete-diffusion: Reparameterized Discrete Diffusion Models for Text Generation

Description: Reparameterized Discrete Diffusion Models for Text Generation - HKUNLP/reparam-discrete-diffusion

Open Graph Description: Reparameterized Discrete Diffusion Models for Text Generation - HKUNLP/reparam-discrete-diffusion

X Description: Reparameterized Discrete Diffusion Models for Text Generation - HKUNLP/reparam-discrete-diffusion

Opengraph URL: https://github.com/HKUNLP/reparam-discrete-diffusion

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requirements.txthttps://github.com/HKUNLP/reparam-discrete-diffusion/blob/main/requirements.txt
requirements.txthttps://github.com/HKUNLP/reparam-discrete-diffusion/blob/main/requirements.txt
READMEhttps://github.com/HKUNLP/reparam-discrete-diffusion
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https://github.com/HKUNLP/reparam-discrete-diffusion#a-reparameterized-discrete-diffusion-model-for-text-generation
A Reparameterized Discrete Diffusion Model for Text Generationhttps://arxiv.org/abs/2302.05737
https://github.com/HKUNLP/reparam-discrete-diffusion#dependencies
FairSeqhttps://github.com/facebookresearch/fairseq
virtual environmenthttps://docs.python.org/3/library/venv.html
https://github.com/HKUNLP/reparam-discrete-diffusion#basic-usage-of-the-discrete-diffusion-library
codebasehttps://github.com/ehoogeboom/multinomial_diffusion
D3PM paperhttps://arxiv.org/pdf/2107.03006.pdf
the detailshttps://github.com/HKUNLP/reparam-discrete-diffusion#decoding-strategies
herehttps://github.com/HKUNLP/reparam-discrete-diffusion/blob/main/fairseq/diffusion_mt/tasks/diffusion_translation_task.py#L23
https://github.com/HKUNLP/reparam-discrete-diffusion#decoding-strategies
https://github.com/HKUNLP/reparam-discrete-diffusion#vanilla-sampling-scheme
https://github.com/HKUNLP/reparam-discrete-diffusion#improved-sampling-with-reparameterization
implementationhttps://github.com/HKUNLP/reparam-discrete-diffusion/blob/main/discrete_diffusion/discrete_diffusions/discrete_diffusion_base.py#L130
https://github.com/HKUNLP/reparam-discrete-diffusion#machine-translation
https://github.com/HKUNLP/reparam-discrete-diffusion#data-preprocessing
https://github.com/HKUNLP/reparam-discrete-diffusion#iwslt14-de-en
fairseq/exampleshttps://github.com/facebookresearch/fairseq/tree/main/examples/translation#iwslt14-german-to-english-transformer
https://github.com/HKUNLP/reparam-discrete-diffusion#wmt14-en-de
fairseq/exampleshttps://github.com/facebookresearch/fairseq/tree/main/examples/nonautoregressive_translation#dataset
https://github.com/HKUNLP/reparam-discrete-diffusion#wmt16-en-ro
wmt16.tar.gzhttps://drive.google.com/file/d/1YrAwCEuktG-iDVxtEW-FE72uFTLc5QMl/view?usp=sharing
this repositoryhttps://github.com/nyu-dl/dl4mt-nonauto/tree/multigpu
https://github.com/HKUNLP/reparam-discrete-diffusion#training
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https://github.com/HKUNLP/reparam-discrete-diffusion#trained-model-checkpoints
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https://github.com/HKUNLP/reparam-discrete-diffusion#question-generation-and-paraphrasing-tasks
DiffuSeqhttps://github.com/Shark-NLP/DiffuSeq
https://github.com/HKUNLP/reparam-discrete-diffusion#data-preprocessing-1
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https://github.com/HKUNLP/reparam-discrete-diffusion#training-1
https://github.com/HKUNLP/reparam-discrete-diffusion#generation--evaluation-1
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https://github.com/HKUNLP/reparam-discrete-diffusion#trained-model-checkpoints-1
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https://github.com/HKUNLP/reparam-discrete-diffusion#citation
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