Top 4 encoder-decoder-model Open-Source Projects
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pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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InfluxDB
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NLP-With-PyTorch
My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques.
For a long time, the state-of-the-art models for monocular depth estimation such as DORN and DenseDepth were built with convolutional neural networks. Recently, however, both transformer-based models such as DPT and GLPN, and diffusion-based models like Marigold have achieved remarkable results!
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Index
What are some of the best open-source encoder-decoder-model projects? This list will help you:
Project | Stars | |
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1 | pytorch-seq2seq | 5,182 |
2 | DenseDepth | 1,533 |
3 | ncem | 98 |
4 | NLP-With-PyTorch | 0 |
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