PdfPig
Keras
PdfPig | Keras | |
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7 | 78 | |
1,462 | 60,937 | |
4.9% | 0.6% | |
9.1 | 9.9 | |
9 days ago | 5 days ago | |
C# | Python | |
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.
PdfPig
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Just Say No
Maybe (most likely) this is a problem of GitHub's terminology. For genuine bugs, e.g. here's the repro, the stack trace, the code to replicate it, it happens 100% of the time if you follow these steps, I'd agree that just having it open and in the backlog would be preferable.
The problem is those make up maybe at a generous estimate, 10-15% of issues in a projects backlog. In the interests of full disclosure here's mine (I don't use stalebot) https://github.com/UglyToad/PdfPig/issues?page=1&q=is%3Aissu.... As you can see from the backlog I close almost nothing. This was a deliberate choice to avoid closing things until the fix was confirmed by the reporter.
But equally that's the first time I've opened the repository in a couple of months and the amount of angst and dread I feel just from the size of that list means I'll probably find yet another excuse not to do anything on it this coming month.
Discussions on this topic feel a lot like "technical solutions to social problems"; by which I mean "well in the ideal world a perfectly logical person would do x, y, z so the system should reflect that". And while a stalebot is the archetypal technical solution to a social problem it at least works with how maintainers work. Sometimes in life you want to ignore a problem and have it go away. When you can't do that, e.g. government bureaucracy, work stuff, social obligations, that's where stress comes from. And asking volunteer maintainers to add a whole new source of stress in their life falls apart when people get busy, or their life circumstances change, or they get ill or tired or whatever.
Yes, in a perfect world the issue backlog would be sacrosanct and perfectly groomed/prioritized. But we're just fleshy sacks of chemicals and we're not perfect. Unrealistic expectations from users are the cause of maintainer burnout.
Because GitHub closed issues are still viewable and searchable (I'd guess most people search it through a search engine not the terrible inbuilt search) I'd disagree that they're deceiving users somehow.
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There is framework for everything.
What about PdfPig? It's under Apache 2.0.
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Extract Text from PDF file Blazor
You could try PdfPig. https://uglytoad.github.io/PdfPig/ I've used it for some small tasks and found it very useful. If you want to handle scanned pdfs you would need to use OCR instead.
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How to read pdf files in C#?
PDF Pig is open source and allows you to read text and even extract images.
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Add, Remove, Extract and Replace Images in PDF using C#
https://uglytoad.github.io/PdfPig/ https://github.com/empira/PDFsharp
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Are there any good PDF generation libraries with no paid licensing?
Example of document creation API here https://github.com/UglyToad/PdfPig#document-creation-005 and wiki with more details here https://github.com/UglyToad/PdfPig/wiki/Document-Creation
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Generating a Report and exporting it as an PDF
Example with PDFpig https://github.com/UglyToad/PdfPig/blob/master/examples/GeneratePdfA2AFile.cs
Keras
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Library for Machine learning and quantum computing
Keras
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My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
- Release: Keras 3.3.0
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Getting Started with Gemma Models
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow.
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Keras 3.0
All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467
You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/
- Keras 3: A new multi-back end Keras
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Can someone explain how keras code gets into the Tensorflow package?
I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
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How popular are libraries in each technology
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
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List of AI-Models
Click to Learn more...
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Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them.
What are some alternatives?
ITextSharp - [DEPRECATED] .NET port of the iText library, only security fixes will be added — please use iText for .NET
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
PDFsharp - PDFsharp and MigraDoc Foundation for .NET 6 and .NET Framework
scikit-learn - scikit-learn: machine learning in Python
Docotic.Pdf - Docotic.Pdf library can create, edit, draw and print PDF files in .NET Core, ASP.NET, Windows Forms, WPF, Xamarin, Blazor, Unity, and HoloLense applications. The library is a 100% managed assembly without unsafe blocks. The assembly has no external dependencies.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
docnet - DocNET is as fast PDF editing and reading library for modern .NET applications
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Pdfium.Net SDK
tensorflow - An Open Source Machine Learning Framework for Everyone
iTextSharp (LGPL / MPL) 4.1.6 for .NET Core - Unofficial .NET Core port of iTextSharp 4.1.6. Last version to be released under the Mozilla Public License and the LGPL.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.