TensorFlow.NET
learnxinyminutes-docs
TensorFlow.NET | learnxinyminutes-docs | |
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18 | 226 | |
3,112 | 11,163 | |
0.7% | - | |
8.6 | 9.5 | |
about 1 month ago | 3 days ago | |
C# | JavaScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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TensorFlow.NET
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Sentiment analysis in c#
But to answer your question. I've run UNet in C#. I trained the data originally using python and used SciSharp to run the model using GPU for a solution more than 5 years ago.
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AI .NET
TensorFlow .Net
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The Ultimate Guide to Tech Stack for Indie Hackers in 2023
Yes, exactly. Since you will probably use scikit / tensorflow / pytorch with Python, you can call your model directly in a Django controller. Using other frameworks you will probably have to create a separate microservice with a model exposed via Rest API or use bindings like TensorFlow.NET
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Have anyone use ML Net for production?
Not even close , It is close to python's scikit learn , and it does not have it is own deep learning framework like tensorflow or pytorch , while there are some developers that are trying to implement tensorflow in dotnet , they are doing a good job at providing TensorFlow's low-level C++ API , However c# is not as good as python in manipulating data , there are tons of online materials for python's data science libraries like numpy , pandas , scikit learn , tensorflow , pytorch , quick bug fixes , even some support for unique cases .
- If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
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Does anyone have any experience using ML.NET for forecasting?
But Ive actually been looking at TensorFlow.NET. Its uses .NET binding for TensorFlow machine learning library. Heres the GitHub page: https://github.com/SciSharp/TensorFlow.NET
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Does Microsoft use F# for any of its internal projects?
If you're pointing out that Tensorflow.NET is exciting (https://github.com/SciSharp/TensorFlow.NET), I agree!
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Is F# a viable language for machine learning akin to Python?
Looks like TensorFlow is callable directly from .NET. https://github.com/SciSharp/TensorFlow.NET
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Need help Understanding A Neural Net better [P]
Building neural nets from scratch is going to be really hard, for a lot of reasons that you're not even aware of yet. You're better off using preexisting machine learning frameworks. For example here's a library for using tensorflow in c#: https://github.com/SciSharp/TensorFlow.NET
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How to develop an applications with multiple programming language
Why don't you try this: https://www.nuget.org/packages/TensorFlow.NET/ (and maybe other nugets).
learnxinyminutes-docs
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Scripts should be written using the project main language
> Sure, maybe for some esoteric edge cases, but 5 mins on https://learnxinyminutes.com/ should get you 80% of the way there, and an afternoon looking at big projects or guidelines/examples should you another 18% of the way.
Not for C++, and even for other languages, it's not the language that's hard, it's the idioms.
Python written by experts can be well-nigh incomprehensible (you can save typing out exactly one line if you use list-comprehensions everywhere!).
Someone who knows Javascript well still needs to know all the nooks and crannies of the popular frameworks.
Java with the most popular frameworks (Spring/Boot/etc) can be impossible for a non-Java programmer to reason about (where's all this fucking magic coming from? Where is it documented? What are the other magic words I can put into comments?)
C# is turning into a C++ wannabe as far as comprehension complexity goes.
Right now, the quickest onboarding I've seen by far are Go codebases.
The knowledge tree required to contribute to a codebase can exists on a Deep axis and a Wide axis. C++ goes Deep and Wide. Go and C are the only projects I've seen that goes neither deep nor wide.
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100+ FREE Resources Every Web Developer Must Try
Learn x in y minutes: Concise tutorials to learn various programming languages and tools quickly.
- SQL for Data Scientists in 100 Queries
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New GitHub Copilot Research Finds 'Downward Pressure on Code Quality'
StackOverflow's making their own competing LLM for all this stuff.
IMO, one of the biggest problems with the way people use LLMs right now, is that they're being treated as a single oracle: to know Java, it must be trained on examples of Java.
It would be much better if their language comprehension abilities were kept separated from their knowledge (and there are development efforts in this direction), so in this example it would be trained to be able to be able to read a Java tutorial rather than by actually reading a Java tutorial, so when the overall system is asked to write something in Java, the language model within the system decides to do this by opening https://learnxinyminutes.com and combining the user query with the webpage.
I think this will help make the models more compact, which is a benefit all by itself, but it would also mean that knowledge can be updated much more easily.
Someone would have to actually do this in order to see if those benefits are worth the extra cost of having to load a potentially huge a tutorial into the context window, and likewise the extent to which a more compact training set makes the language comprehension worse.
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Ask HN: Programming Courses for Experienced Coders?
The project was created and is maintained by Adam Bard, but is open sourced with over 1.7k contributors since 2013
https://github.com/adambard/learnxinyminutes-docs
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Ask HN: How to learn to be a programmer in 20 years?
So you have studied programming for at least 5 years, what kinds of programs have you written? Apparently you have already applied your skills, since you have "created a good reputation among developers"? Why a time-frame of 20 years, why not 20 months or 20 weeks? Heck, you can learn a lot in even 20 days!
Once you have learned a few languages, libraries and frameworks then learning new stuff becomes much easier. At that point I'd recommend to check the website https://learnxinyminutes.com. Meanwhile, continue asking questions here and elsewhere :)
An other tip, if you are into computer science and algorithms stuff I recommend you try to solve problems which are posted at https://codegolf.stackexchange.com. You don't need to try solving them in less than X characters, but just to get them solved by any means necessary. And don't take too much bad influence from the posted solutions.
- Lean 4.0.0, first official lean4 release
- Learn X in Y Minutes
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how long will it take to learn JS?
If you want a brief overview, go to https://learnxinyminutes.com/ and look for Javascript. I guess it should be roughly the time it took to learn C++ or possibly less, but JS has its own quirks. Often learning a second language is difficult as the first.
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Anyone got good resources for experienced devs that don't know front end?
Very light compared to the other resources people have linked for you, but I love https://learnxinyminutes.com/
What are some alternatives?
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
learn-x-by-doing-y - 🛠️ Learn a technology X by doing a project - Search engine of project-based learning
TorchSharp - A .NET library that provides access to the library that powers PyTorch.
the-road-to-learn-react - 📓The Road to learn React: Your journey to master plain yet pragmatic React.js
TensorFlowSharp - TensorFlow API for .NET languages
materials - Bonus materials, exercises, and example projects for our Python tutorials
Accord.NET
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.
NumSharp - High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
tour_of_rust - A tour of rust's language features
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++