OpenAdapt
apertium
OpenAdapt | apertium | |
---|---|---|
25 | 5 | |
538 | 85 | |
48.3% | - | |
9.3 | 5.6 | |
3 days ago | 7 days ago | |
Python | C++ | |
MIT License | GNU General Public License v3.0 only |
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.
OpenAdapt
- Rabbit R1 can be run on a Android device
- OpenAdapt: AI-First Process Automation with Large Multimodal Models
- Adapter between LMMs and traditional desktop and web GUI
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I Witnessed the Future of AI, and It's a Broken Toy
> Rabbit has said the device will be able to learn any app, if you teach it.
We're building this over at https://github.com/OpenAdaptAI/OpenAdapt. OpenAdapt learns to automate tasks in desktop apps by observing human demonstrations.
Early demo: https://twitter.com/abrichr/status/1784307190062342237 (more coming soon!)
The demo is overly simplistic to keep it short -- it also works with arbitrary applications and operations.
Also, we're open source. Contributions and feedback are welcome and encouraged :)
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Memary is a cutting-edge long-term memory system based on a knowledge graph
Very interesting, thank you for making this available!
At OpenAdapt (https://github.com/OpenAdaptAI/OpenAdapt) we are looking into using pm4py (https://github.com/pm4py) to extract a process graph from a recording of user actions.
I will look into this more closely. In the meantime, could the authors share their perspective on whether Memary could be useful here?
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Rabbit r1 source code [part 1]
See https://github.com/OpenAdaptAI/OpenAdapt for an alternative that works with desktop GUIs.
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Survey Study on AI Agents Architectures(2024)
Not mentioned: learning from demonstration. This is the approach we are taking at https://github.com/OpenAdaptAI/OpenAdapt.
- AI-First Process Automation with LLMs/Action/Multimodal/Visual Language Models
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Show HN: Skyvern – open-source browser automation tool
Congratulations on shipping!
Check out https://github.com/OpenAdaptAI/OpenAdapt for an open source (MIT license) alternative that also works on desktop (including Citrix!)
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LaVague: Open-source Large Action Model to automate Selenium browsing
https://github.com/mldsai/puterbot is designed for all desktop applications, including browsers. We're also working on a chrome extension to support reading/writing directly to DOM: https://github.com/OpenAdaptAI/OpenAdapt/pull/364
apertium
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Ask HN: Tell us about your project that's not done yet but you want feedback on
This is very cool, looking forward to it! I've been doing the same thing with Spanish Wikipedia articles for a while, using a few lines of Bash + Regex. I was using Apertium for it. https://apertium.org/ It's definitely worse than most ML-based solutions, but it works reliably and fast; you can run it entirely offline. With Spanish translations, the main problem I was facing is lack of vocabulary, so I created https://github.com/phil294/apertium-eng-spa-wiktionary which about doubles the amount of recognized words, albeit with wonky grammar.
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Show HN: Unlimited machine translation API for $200 / Month
I used to keep track of the state of machine translation some years back.
I think the way you measure the success of an automated translation is edit distance, i.e. how many manual edits you need to make to a translated text before you reach some acceptable state. I suppose it's somewhat subjective, but it is possible to construct a benchmark and allow for multiple correct results.
The best resources I knew back then were:
VISL's CG-3 self-reported a competitively low edit distance compared to Google Translate: https://visl.sdu.dk/constraint_grammar.html -- the abstraction unfortunately requires a rather deep knowledge of any one particular language's grammar. It is a convincing argument that in order to beat Google Translate, you want less fuzzy machine learning and more structural analysis. But you also need a PhD in computational linguistics and deep knowledge of each language.
Apertium has an open-source pipeline: https://apertium.org/ -- seems to be much more like an open-source approach with a quality similar to Google Translate (although I don't know if it's better or worse; probably slightly worse in most cases, and with a slightly lower coverage).
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Translating several languages into CV Creole
For context, I have been contributing CV Creole data to Unicode's CLDR and MediaWiki for a number of years now, but both are mostly manual work. I once considered setting up an Apertium language pair between CV Creole and Portuguese, given the grammatical similarities, but never got around to it.
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"Lingva" Google Translate but without the tracking
Lingva is awesome. Also don't forget to check out LibreTranslate and Apertium. They are open source. Apertium can even translate web pages (you need to enter the URL).
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How I installed Apertium on CentOS 7
#!/bin/bash set -x mkdir -p apertium-src && \ mkdir -p $MTDIR cd apertium-src && \ wget http://ftp.tsukuba.wide.ad.jp/software/gcc/releases/gcc-8.5.0/gcc-8.5.0.tar.gz -O - \ | gzip -dc \ | tar -xf - && \ cd gcc-8.5.0 && \ ./configure --prefix=$MTDIR --disable-multilib && \ make -j $(nproc) && \ make install && \ cd .. || exit 1 cd apertium-src && \ wget https://github.com/unicode-org/icu/releases/download/release-69-1/icu4c-69_1-src.tgz -O - \ | gzip -dc \ | tar -xf - \ && cd icu/source \ && CC=gcc CXX=g++ ./configure --prefix=$MTDIR \ && CC=gcc CXX=g++ make -j $(nproc) \ && CC=gcc CXX=g++ make install \ && cd ../.. \ || exit 1 cd apertium-src && \ svn checkout http://beta.visl.sdu.dk/svn/visl/tools/vislcg3/trunk vislcg3 && \ cd vislcg3 && ./get-boost.sh \ && ./cmake.sh -DCMAKE_INSTALL_PREFIX=$MTDIR \ -DICU_INCLUDE_DIR=$MTDIR/include \ -DICU_LIBRARY=$MTDIR/lib/libicuuc.so \ -DICU_IO_LIBRARY=$MTDIR/lib/libicuio.so \ -DICU_I18N_LIBRARY=$MTDIR/lib/libicui18n.so \ && make -j$(nproc) && \ make install && cd .. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/lttoolbox && \ cd lttoolbox && ./autogen.sh --prefix=$MTDIR && make -j $(nproc) && make install && cd ../.. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/apertium && \ cd apertium && ./autogen.sh --prefix=$MTDIR && make -j $(nproc) && make install && cd ../.. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/apertium-lex-tools && \ cd apertium-lex-tools && ./autogen.sh --prefix=$MTDIR && make -j $(nproc) && make install && cd ../.. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/apertium-tha && \ cd apertium-tha && ./autogen.sh --prefix=$MTDIR && make && make install && cd ../.. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/apertium-tha-eng && \ cd apertium-tha-eng && ./autogen.sh --prefix=$MTDIR && make && make install && cd .. && \ cd .. || exit 1
What are some alternatives?
ios-mail - Secure email that protects your privacy
lingva-translate - Alternative front-end for Google Translate
CogVLM - a state-of-the-art-level open visual language model | 多模态预训练模型
icu - The home of the ICU project source code.
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
LibreTranslate - Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
adept-inference - Inference code for Persimmon-8B
apertium-tha-eng - Apertium translation pair for Thai and English
IfcOpenShell - Open source IFC library and geometry engine
lttoolbox - Finite state compiler, processor and helper tools used by apertium
strawberry - A GraphQL library for Python that leverages type annotations 🍓
feature-express