Paperless
gpt-2
Paperless | gpt-2 | |
---|---|---|
27 | 64 | |
7,543 | 21,259 | |
- | 1.4% | |
5.3 | 2.5 | |
about 3 years ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
Paperless
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🔍Underrated Open Source Projects You Should Know About 🧠
Paperless-ngx is the successor to the original Paperless & Paperless-ng projects, both of which are now in public archive. The original projects are not dead, but rather, continued through the open source community!
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Paperless-Ngx v2.0.0
There's this:
https://github.com/the-paperless-project/paperless/issues/20
I don't know if it made it's way into this fork.
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Welche App zum Einscannen von privaten Unterlagen ist empfehlenswert?
Paperless: https://github.com/the-paperless-project/paperless
- Québec lifehack: la BanQ!
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My take on document archiving: Virtualpaper
Agreed. It's difficult to beat paperless* for single-user systems. It does have some rudimentary user management from Django, but it's an admin party and there's no way to give users separate repositories. They've been looking into it for years, going back as far as the original paperless project. I imagine such a feature is difficult to add on as an afterthought because it touches everything, so it should be built in from the very beginning. And it seems they're looking for a perfect implementation, which may or may not exist. Thus, years later, paperless* remains effectively a single-user app.
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Paperless-NGX
If I understand this correctly, the original Paperless was archived (Archival notice)[https://github.com/the-paperless-project/paperless/commit/9b...], so Paperless-NG was created.
Now that Paperless-NG seems to be going unmaintained (last commit on 15th Sep 2021), Paperless-NGX has been created with a focus on an org, so that the continuity of the project can be maintained with a simple path for the original creators to join back if they want to.
I don't think the community could have handled this better!
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Announcing first release of Paperless-ngx, the community-supported successor to Paperless-ng
As many of you know "Paperless-ng" was a very popular fork of the document management system "Paperless". The initial author of -ng, Jonas Winkler, created an amazing project that was eventually designated as the 'official' successor. He maintained a furious development pace for some time but as of this post hasn't been heard from in months. A group of folks dedicated to the software (myself included) decided to try and revive the project and hopefully set it up for a long future. Yes, a similar thing happened with the original Paperless, we are hoping to avoid some of the same mistakes. See jonaswinkler/paperless-ng#1599, jonaswinkler/paperless-ng#1632 and historically the-paperless-project/paperless#711 if you are curious for more about all of this.
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Alternative paperless-ng
yes, I know that project. Paperless-ng is actually a fork of paperless project. I borrowed many great ideas from both projects. Unfortunately both projects are now archived (paperless-ng is not officially archived, but in last 6 months there was no development, as it looks to me that main developer lost interest in the project).
- Just want to share my homelab
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Can someone recommend me a decent cheap document scanner?
I have a Brother ADS-1700W, works fine, a little fiddly to set up the profiles for one touch scanning but once it's done it's fine. I set up a workflow with https://github.com/the-paperless-project/paperless that lets me scan straight into OCR. https://github.com/jonaswinkler/paperless-ng is the fork that I'm going to upgrade to in my CFT.
gpt-2
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What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more
Medium models: Roughly between 1B to 10B parameters. This is where Mistral 7B, Phi-3, Gemma from Google DeepMind, and wizardlm2 sit. Fun fact: GPT 2 was a medium sized model, much smaller than its latest versions.
- Sam Altman is still trying to return as OpenAI CEO
- Build Personal ChatGPT Using Your Data
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Are the recent advancements in AI technology primarily driven by recent discoveries or the progress in hardware capabilities and the abundance of available data?
"Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper. "
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BING IS NOW THE DEFAULT SEARCH FOR CHATGPT
They did release GPT-2 under the MIT License.
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Don Knuth Plays with ChatGPT
Did you arrive at this certainty through reading something other than what OpenAI has published? The document [0] that describes the training data for GPT-2 makes this assertion hilarious to me.
[0]: https://github.com/openai/gpt-2/blob/master/model_card.md#da...
- Was frustriert euch an der Nutzung oder der Diskussion um KI?
- The AI
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Help with pet project to learn - Running ChatGPT-2 at home
I made a clone of https://github.com/openai/gpt-2 on my local laptop
- По поводу опасности ИИ и предложений остановить разработки на 6 месяцев.
What are some alternatives?
mayan-edms
dalle-mini - DALL·E Mini - Generate images from a text prompt
Papermerge - Open Source Document Management System for Digital Archives (Scanned Documents)
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
Docspell - Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
Mayan EDMS - Free Open Source Document Management System (mirror, no pull request or issues)
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
CUPS - Apple CUPS Sources
jukebox - Code for the paper "Jukebox: A Generative Model for Music"