hasktorch
Roslyn
hasktorch | Roslyn | |
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15 | 158 | |
1,015 | 18,499 | |
0.9% | 0.5% | |
7.2 | 10.0 | |
7 days ago | 7 days ago | |
Haskell | C# | |
BSD 3-clause "New" or "Revised" License | MIT License |
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hasktorch
- BLAS GPU bindings
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Trying out Hasktorch but ghc supported versions conflicts on MacOS M1/2
I assume you are getting https://github.com/hasktorch/hasktorch/issues/631? I suspect you need to upgrade to GHC 9.2 to work reliably on M1.
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Is Haskell okay for prototyping machine learning models for research (discovery and exploration)
You might find the Deep Learning From The First Principles tutorials by Bogdan Penkovsky an interesting survey of native Haskell implementations of deep neural networks, and a bit more. It demonstrates some native charting capabilities, and Day 9 uses Hasktorch.
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Need help Integrating Hasktorch into my Haskell Jupyter environment using Nix
I'm new to Nix and I'm trying to set up a Jupyter notebook environment for Haskell that includes the Hasktorch package. I'm using the jupyenv project from Tweag as the foundation, and I've been able to get it working with some basic Haskell packages. However, I'm running into issues when I try to add Hasktorch to the mix.
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[D] Have their been any attempts to create a programming language specifically for machine learning?
That said, there are some things that try to do this. Haskell has a port of torch called HaskTorch that includes this kind of typed tensor shapes, and calls the Z3 theorem prover on the backend to solve type inference. It can get away with this because of the LiquidHaskell compiler extension, which has refinement types capable of solving this kind of typing problem, and is already pretty mature. Dex is a research language from Google that's based on Haskell and built to explore this kind of typechecking. Really you'd want to do this in Rust, because that's where the tradeoff of speed and safety for convenience makes the most sense, but rust is just barely on the edge of having a type system capable of this. You have to get really clever with the type system to make it work at all, and there's been no sustained push from any company to develop this into a mature solution. Hopefully something better comes along soon
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Haskell deep learning tutorials [Blog]
As rightfully pointed u/gelisam, both Hasktorch and Pytorch are essentially the same things (bindings to existing Torch library). Therefore, it should be generally possible to use existing pretrained models. Here is an example.
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base case
I think it's likely that http://hasktorch.org/ is the library you will want to use for AI models, once you feel comfortable with Haskell.
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looking for simple regression (or classification) library
IF (big if) it turns out you do need deep learning then doing it in Hasktorch http://hasktorch.org/ could be a fun learning project. The team making it is super nice and responsive, too
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Haskell for Artificial Intelligence?
This said, if you want do do deep learning Python is the obvious choice atm, if only for copy-pasting code from examples (however do you know HaskTorch? https://github.com/hasktorch/hasktorch/ )
- GPU-based deep learning in Haskell
Roslyn
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Asynchronous Programming in C#
My understanding is that the .NET team is working toward this with Interceptors: https://github.com/dotnet/roslyn/blob/main/docs/features/int...
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The Performance Impact of C++'s `final` Keyword
.NET is a little smarter about switch code generation these days: https://github.com/dotnet/roslyn/pull/66081
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Generating C# code programmatically
Recently, while creating some experimental C# source code generators (xafero/csharp-generators), I was just concatenating strings together. Like you do, you know, if things have to go very quickly. If you have a simple use case, use a formatted multi-line string or some template library like scriban. But I searched for a way to generate more and more complicated logic easily - like for example, adding raw SQL handler methods to my pre-generated DBSet-like classes for my ADO.NET experiment. You could now say: Use Roslyn and that's really fine if you look everything up in a website like SharpLab, which shows immediately the syntax tree of our C# code.
- Still No REPL for .NET Core in Visual Studio
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Roslyn VS Metalama.Compiler - a user suggested alternative
2 projects | 7 Dec 2023
- Por debaixo do capô: async/await e as mágicas do compilador csharp
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Use Case Driven Development with Low-Code
At runtime, the Case C# expressions are embedded into a function and dynamically compiled into an assembly using the Roslyn C# compiler. Then the function that contains the expression is called (e.g. CaseAvailableFunction.Availablle()). At runtime, the function provides various methods to access stored case values as well as the current input data.
- Interceptors
- Tentative C# 12 feature list · dotnet/roslyn · Discussion #69074
What are some alternatives?
grenade - Deep Learning in Haskell
Mono-basic - Visual Basic Compiler and Runtime
dex-lang - Research language for array processing in the Haskell/ML family
MSBuild - The Microsoft Build Engine (MSBuild) is the build platform for .NET and Visual Studio.
finito - A constraint solver for finite domains, written in Haskell.
F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
ClojureCLR - A port of Clojure to the CLR, part of the Clojure project
Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.
Bridge.NET - :spades: C# to JavaScript compiler. Write modern mobile and web apps in C#. Run anywhere with Bridge.NET.
futhark - :boom::computer::boom: A data-parallel functional programming language
Roslyn-linq-rewrite - Compiles C# code by first rewriting the syntax trees of LINQ expressions using plain procedural code, minimizing allocations and dynamic dispatch.