Daniel Suess dsuess

## test_onnx.html
<html>
  <script src='../dist/webml-polyfill.js'></script>
  <script src='third_party/protobuf.min.js'></script>
  <script src='util/base.js'></script>
  <script src='util/onnx/onnx.js'></script>
  <script src='util/onnx/OnnxModelUtils.js'></script>
  <script src='util/onnx/OnnxModelImporter.js'></script>
  <script>
  (async () => {
    const res = await fetch('path/to/model.onnx');

## A guide to install and use the PyTorch C++ API with Anaconda.md

      
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                mhubii
                / A guide to install and use the PyTorch C++ API with Anaconda.md
            
            
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              May 7, 2024 19:10
            
          
    PyTorch C++ API Ubuntu Installation Guide

The best way to get a clean installation of PyTorch, is to install the pre-compiled binaries from the Anaconda distribution. Therefore, we need to setup Anaconda first.
Step 1: Install Anaconda


Go to the download section and download your desired Anaconda version for Linux


Run the downloaded shell script and follow the install instruction, do


## README.md

      
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                robertpainsi
                / README.md
            
            
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              March 21, 2024 10:45
            
              
                How to reopen a pull-request after a force-push?
              
          
    How to reopen a pull-request after a force-push?

Precodinitions


You need the rights to reopen pull requests on the repository.
The pull request hasn't been merged, just closed.

Instructions


Write down the current commit hash of your PR-branch git log --oneline -1 <PR-BRANCH>
Write down the latest commit hash on github before the PR has been closed.
git push -f origin :


## README.md

      
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                lopezjurip
                / README.md
            
            
              Created
              September 26, 2015 12:13
            
              
                OSX Homebrew: docker-machine setup
              
          
    Prerequisites

Make sure you have installed Homebrew and (Homebrew-Cask)[http://caskroom.io/].
# Install Homebrew
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

# Install Homebrew-cask
brew install caskroom/cask/brew-cask


## tvtk_image_overlay.py
"""
Example of overlaying an image on a 3D view with tvtk
"""
##
import mayavi.mlab as mlab
import numpy as np
import pylab as pl
import vtk
from tvtk.api import tvtk
##

## CUDA_Compilers.md

      
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                ax3l
                / CUDA_Compilers.md
            
            
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              May 20, 2024 16:33
            
              
                CUDA Compilers
              
          
    In general, check the crt/host_config.h file to find out which versions are supported.
Sometimes it is possible to hack the requirements there to get some newer versions working, too :)
Thrust version can be found in $CUDA_ROOT/include/thrust/version.h.
Download Archives: https://developer.nvidia.com/cuda-toolkit-archive
Release notes for CUDA Toolkit (CTK):

latest:   https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
archive: https://docs.nvidia.com/cuda/archive/
	<html>
	<script src='../dist/webml-polyfill.js'></script>
	<script src='third_party/protobuf.min.js'></script>
	<script src='util/base.js'></script>
	<script src='util/onnx/onnx.js'></script>
	<script src='util/onnx/OnnxModelUtils.js'></script>
	<script src='util/onnx/OnnxModelImporter.js'></script>
	<script>
	(async () => {
	const res = await fetch('path/to/model.onnx');
	"""
	Example of overlaying an image on a 3D view with tvtk
	"""
	##
	import mayavi.mlab as mlab
	import numpy as np
	import pylab as pl
	import vtk
	from tvtk.api import tvtk
	##