pdfcpu
Gorgonia
| pdfcpu | Gorgonia | |
|---|---|---|
| 30 | 21 | |
| 6,236 | 5,350 | |
| 1.6% | 0.5% | |
| 9.1 | 2.5 | |
| 8 days ago | about 1 month ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
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.
pdfcpu
- Show HN: A PDF Processing CLI/API Written in Go
- Show HN
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Making a PDF that's larger than Germany
Slightly tangential: if you are hacking on PDFs, manually or otherwise, this is an incredibly useful tool: https://pdfcpu.io/ (not the author, just a user)
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Stirling-PDF: local web application to perform various operations on PDFs
A really nice, stand-alone command line tool is pdfcpu.
https://github.com/pdfcpu/pdfcpu
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pdfcpu v0.6.0 out! - pdfcpu.io
Check it out => https://github.com/pdfcpu/pdfcpu/releases/tag/v0.6.0
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Marker: Convert PDF to Markdown quickly with high accuracy
I can report that the closest I've came before is with PDFMiner (https://pypi.org/project/pdfminer/) for Python. The benefit of this one is that it retains styling information, so that italics and the like can be retained, at least with some post-processing (I think one might need to convert certain CSS-classes to actual or tags).
The other option I have started looking into is the PDFCPU library for Go. It is a bit more low-level than PDFMiner, but one gets out very well structured info, that seem it might be possible to post-process quite well, for one's particular use case and PDF layouts: https://github.com/pdfcpu/pdfcpu
I also now tried the Marker tool in the OT, and it seems to do a reasonable job. It did intermingle some columns though, at least in some tricky cases such as when there were a round shaped image in between the two columns. One note is that Marker doesn't seem to retain styling like italics though.
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PDFcpu snippet for read text of PDF file?
Of course, the best way would be to solve it via the API without CLI. But this doesn't seem to work. https://github.com/pdfcpu/pdfcpu/issues/122
- wie splittet ihr denn PDFs - ich hab hier einige - die ich zerlegen muss in Teile
- Do you know any library to make pdf in golang?
- Pdfcpu: A Go PDF Processor
Gorgonia
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Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
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Machine Learning
I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
- Why isn’t Go used in AI/ML?
- GoLang AI/ML open source projects
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A systematic framework for technical documentation authoring
Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.
But this is the first time I've heard of the name of the framework.
[0]: https://gorgonia.org
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[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
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Most Popular GoLang Frameworks
Website: https://gorgonia.org
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[D] What framework are you using?
I use Gorgonia.
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Why can't Go be popular for machine learning?
What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
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Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
What are some alternatives?
gopdf - A simple library for generating PDF written in Go lang
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
go-wkhtmltopdf - Go bindings for wkhtmltopdf and high-level HTML to PDF conversion interface
GoLearn - Machine Learning for Go
qpdf - QPDF: A content-preserving PDF document transformer
tfgo - Tensorflow + Go, the gopher way
merge2pdf - Merge Image and PDF files (optionally with selective pages) with lossless quality
goml - On-line Machine Learning in Go (and so much more)
markpdf - Watermark PDF files using image or text
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
ngrok - Unified ingress for developers
bayesian - Naive Bayesian Classification for Golang.