seq2seq
Attention-based sequence to sequence learning (by alex-berard)
Seq2seq-PyTorch
By b-etienne
Our great sponsors
| seq2seq | Seq2seq-PyTorch | |
|---|---|---|
| 1 | 2 | |
| 390 | 76 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 5 years ago | about 4 years ago | |
| Python | Python | |
| Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
seq2seq
Posts with mentions or reviews of seq2seq.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-08.
-
[D] Resources for Understanding The Original Transformer Paper
Code for https://arxiv.org/abs/1409.0473 found: https://github.com/eske/seq2seq
Seq2seq-PyTorch
Posts with mentions or reviews of Seq2seq-PyTorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-31.
-
test
Found relevant code at https://github.com/b-etienne/Seq2seq-PyTorch + all code implementations here
-
[D] Resources for Understanding The Original Transformer Paper
Code for https://arxiv.org/abs/1508.04025 found: https://github.com/b-etienne/Seq2seq-PyTorch
What are some alternatives?
When comparing seq2seq and Seq2seq-PyTorch you can also consider the following projects:
Deep-Learning-Papers-Reading-Roadmap - Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
seq2seq - Attention-based sequence to sequence learning [Moved to: https://github.com/alex-berard/seq2seq]