facebookresearch/fairseq-lua

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

3725 stars · 604 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Fairseq-lua is Facebook AI Research's sequence-to-sequence learning toolkit for the Torch framework, focused on neural machine translation with convolutional and LSTM models. It is the legacy Lua version, now superseded by fairseq-py and provided without support.

Use cases

• train neural machine translation models
• run convolutional sequence-to-sequence translation
• translate text with pre-trained NMT models
• train seq2seq models on multiple GPUs
• run fast beam search decoding on GPU

When to choose

• you specifically need the original ConvS2S Lua/Torch implementation for research reproduction
• you maintain a legacy Torch-based NMT pipeline

When to avoid

• you want an actively maintained toolkit - use fairseq-py instead
• you need Windows support or modern GPU stacks
• you are starting a new machine translation project

Facets

library · maturity abandoned

machine-learning deep-learning llm-training cli machine-learning deep-learning lua neural-machine-translation sequence-to-sequence torch convolutional-models beam-search deprecated natural-language-processing linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/fairseq-lua")