Mono VS Pytorch

In the video you basically install .NET 7.0 SDK with the deb packages from Microsoft repos AND mono deb packages from repos laid out in https://www.mono-project.com/ apart from Unity and VS Code. And then you configure VS Code so that it always uses Mono installed in the system (not Unity Editor's own instance???)

4- Any user-side telemetry would be in the MS .Net framework, which is not used when you selfhost as .net based stuff like Jellyfin use Mono, which is fully open-source and independent (https://www.mono-project.com/)

Did they intentionally name it after a widely used, well known programming framework[1], or did they want to guarantee, I dunno, that they will fly way, way under the radar? I thought it was bad form to name a new programming language 'Cedar', but at least the other Cedar isn't actively developed, unlike the other Mono.

[1] https://www.mono-project.com/ for the few of you who didn't know.

.NET 4.8.1 and earlier do not install on Linux. Unless you want to play around with Mono (your mileage may vary): https://www.mono-project.com/

They have deceived you. https://www.mono-project.com/ I seriously don't know how well wine can deal with newer .NET winforms

It also gained a lot of more popularity and success after the release of the open source implementation of it called Mono.

Hey, I'm working on a C++ game engine in VS Code and wanted to add C# scripting, so I'm trying to install Mono. I already got SDL2 working with CMake, but I'm having trouble setting up Mono because it doesn't seem to have any out of the box CMake support.

Microsoft already has universal cross flatform low level spyware as C# and .NET (which is used by tons of even native linux games, especially made with Unity), mono is sponsored by Microsoft and has telemetry. Wine also uses mono.

And then installs proprietary steam, spotify, vscode and develops on C# for linux with telemetry even in mono runtime...

PyTorch (https://pytorch.org/)

torch is a package to manage tensors and dynamic neural networks in python (GitHub)

PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832

TensorFlow

TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.

> does PyTorch have a similar concept

of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...

fyi should work on most 40xx[1]

[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...

Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...

Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....

> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].

*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.

In PyTorch with @, dot() or matmul():