seq2seq-attn is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named seq2seq-attn among their alternatives. The relationship is not symmetric — how seq2seq-attn rates them is a separate judgement, made when seq2seq-attn is analysed in its own right.
calls seq2seq-attn “Choose for a Lua/Torch attention-based seq2seq implementation, but it is a dead ecosystem and lacks PyTorch tooling.”
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.