figomore

It's possible install only the components you want from Visual Studio. I chocolatey to install only the compiler and a component needed to compile Cython codes on Windows:

``` choco install -y visualstudio2019buildtools choco install -y visualstudio2019-workload-vctools ```

I this case it's installing Visual Studio 2019.

I recommend InVesalius (multi platform).

Also for PLY and STL files.

Web app is not needed. You can write using any editor and compile locally using the typist cli.

This editor is developed with Jai language https://github.com/focus-editor/focus

I use GNU Parallel to render Blender videos distributed by a bunch of nodes https://github.com/tfmoraes/blender_gnu_parallel_render

Other option is Tinygrad [1] that has a WEBGPU backend and it works very for my case (Unet 3D).

[1] - https://tinygrad.org/

You can use the WebGPU backend on Tinygrad. It's working well for my test with a Nvidia 960 running inference (Unet 3D). I don't know how well WebGPU is supported on AMD GPUs.

It’s not necessary to include every library inside the package. Flatpak packages use runtime packages like Gnome, Freedesktop and KDE. Those runtime packages already include libraries like OpenSSL,libpng, libjpeg, gtk, qt and are updated very frequently to fix the bugs in those libraries.

One option to your case is OpenVino. It's written in C++ and has Python Bindings. Also, it can be used to train new nets. You can use ONNX files with OpenVino too.

Maybe https://github.com/containers/krunvm

It’s similar but the iOS just segment the main object in an image.

I know this framework https://github.com/webonnx/wonnx, but I’ve never used that.

In the update process Dropbox moves the folder to the new location and creates ~/Dropbox as a symbolic link to the new location. So you cd ~/Dropbox

Other option is to use the Openvino one (https://github.com/bes-dev/stable_diffusion.openvino). It uses CPU and runs very fast. It takes ~90s to generate an image on my Ryzen 3800X.

It seems to use [Nix](https://nixos.org). In Nix you can use [nix-shell](https://ghedam.at/15978/an-introduction-to-nix-shell) to create a shell with the packages you want. For instance, to create a new shell with Python-2.7:

``` $ nix-shell -p python27 ```

Developer here. If you are going to use in Linux, I recommend you to install it using flatpak.

You can use InVesalius https://github.com/invesalius/invesalius3

I find this repo used to create Jaxlib wheels to Windows https://github.com/cloudhan/jax-windows-builder

I’m using the Mac US layout. If I need to type informação:

Informa altgr c altgr n ao

I recommend InVesalius. It’s in Flathub (https://flathub.org/apps/details/br.gov.cti.invesalius)

It’s the default at Fedora too. I’ve been using it at NixOS without any problem.

I used Parallel to distribute the rendering of a little Blender animation It worked very well.

https://github.com/tfmoraes/blender_gnu_parallel_render/blob...

I think you need to use pytorch or tensorflow to create the network and train it. After training you export it to ONNX. I suggest you to convert from ONNX to Openvino.

There is also Armadillo and Happy Buddha from Stanford.

Gripe em Portuguese.

I’m using pipewire in NixOS unstable and it’s working very well. I know they are working in integrating new pipewire configuration with Nix configuration.

I think this is the book https://leanpub.com/SwiftAI

I didn’t know that Brazil had two presidents with Romani origin. According to Wikipedia they are Juscelino Kubitscheck and Washington Luís.

is it possible to do the same with curl?