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nematus: Fast Neural Machine Translation Toolkit for Founders

Leverage nematus to train high‑quality translation models with TensorFlow, ideal for founders building multilingual AI products.

From the repo · “Open-Source Neural Machine Translation in Tensorflow”

805 stars264 forksPythonGuide quality 8/10 · reviewed Oct 7Updated 12/9/2022100% free · open source
What it does

Nematus provides open-source neural machine translation capabilities to founders, allowing them to translate text from one language to another using artificial intelligence

When to use it
  • •When you need to translate large volumes of text, such as product descriptions or user manuals, into multiple languages
  • •When you want to integrate machine translation into your startup's application or service
  • •When you require a high degree of customization and control over the translation process
Ready-to-paste prompt
theano_translate.py -m model.npz -i input.txt -o output.txt
Heads up: Nematus requires Theano, a Python library for fast computation on multi-dimensional arrays, which can be challenging to install and configure, especially on certain operating systems or with specific GPU setups
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/nematus && curl -fsSL https://workflowstacks.com/api/skills/nematus/claude-skill -o ~/.claude/skills/nematus/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How nematus: Fast Neural Machine Translation Toolkit for Founders works
Codeflow
Free to inspect

Nematus: Fast Neural Machine Translation Toolkit for Founders is a medium Python project (~13k lines across 71 code files, plus 11 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit 47 months ago, BSD-3-Clause license, has a test suite.

Size
Medium codebase
~13k lines · 71 code files · ~2 h to skim
Setup
Some technical setup
Comfortable with a terminal? 20–40 min. Otherwise ask a dev.
Runs on
Python
No API keys detected
Python 84%Perl 5%Emacs Lisp 3%JavaScript 3%Hack 2%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    nematus/server.py
    Where the program starts running
  3. 3
    nematus/__init__.py
    Inside nematus/ — the main logic begins here
What's in each folder
nematus/Core code — the actual logic58 files
doc/Documentation2 files
data/Data files33 files
utils/Helper scripts5 files
test/Tests — proof it works27 files
READMEHas testsDocumentedNo CIBSD-3-Clause licenseLast update 47 mo ago
Quick Actions
Details
Creator
EdinburghNLP
Language
Python
Category
ai-agent
Published
4/26/2016

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