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Top 11 Python language-model Projects
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petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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FARM
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
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happy-transformer
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
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chat.petals.dev
đź’¬ Chatbot web app + HTTP and Websocket endpoints for LLM inference with the Petals client
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SaaSHub
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extreme-bert
ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.
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AREkit
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML
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code-representations-ml-brain
[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.
Fascinating work, very promising.
Can you summarise how the model in your paper differs from this one ?
https://github.com/huggingface/transformers/issues/27011
So how long until we can do an open source Mistral Large?
We could make a start on Petals or some other open source distributed training network cluster possibly?
[0] https://petals.dev/
Project mention: Fast and secure translation on your local machine with a GUI | news.ycombinator.com | 2024-04-13Interestingly, I think this is actually related to the offline translation features built into Firefox. Both are products of "Project Bergamot", but the Mozilla-maintained version was later merged into the Firefox application:
https://browser.mt/
https://blog.mozilla.org/en/mozilla/local-translation-add-on...
https://hacks.mozilla.org/2022/06/training-efficient-neural-...
https://github.com/mozilla/firefox-translations
https://firefox-source-docs.mozilla.org/toolkit/components/t...
Extra webpage with screenshot and links, impossible to search for normally:
https://translatelocally.com/downloads/
Does one thing and does it well.
Oh— For downloading models, it's much easier to pipe/`xargs` `translateLocally --available-models` into `translateLocally -d` than go through the GUI.
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Other self-hostable translation tools:
https://www.apertium.org/index.eng.html
- Traditional rule-based translation. Seems to work pretty well, but no good desktop frontend.
https://www.argosopentech.com/
- Works, but crashy desktop app.
https://libretranslate.com/
- API wrapping Argos Translate.
https://lingva.thedaviddelta.com/
- Google Translate scraper/privacy frontend.
https://euroglot.com/
- Proprietary, subscription trialware.
ETA: https://chat.petals.dev
Python language-models related posts
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Mistral Large
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Can LLMs learn from a single example?
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[Research] [Project] Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model
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Can someone please explain to me the differences between train, dev and test datasets?
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Fine-Tuning Transformers for NLP
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Has anyone deployed a BERT like model across multiple tasks (Multi-class, NER, outlier detection)? Seeking advice.
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Index
What are some of the best open-source language-model projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | transformers | 125,741 |
2 | petals | 8,710 |
3 | argos-translate | 3,276 |
4 | FARM | 1,724 |
5 | tango | 923 |
6 | happy-transformer | 503 |
7 | chat.petals.dev | 299 |
8 | extreme-bert | 283 |
9 | dsir | 186 |
10 | AREkit | 52 |
11 | code-representations-ml-brain | 6 |
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