| # This script will manually rip out all VMware Tools registry entries and files for Windows 2008-2019 | |
| # Tested for 2019, 2016, and probably works on 2012 R2 after the 2016 fixes. | |
| # This function pulls out the common ID used for most of the VMware registry entries along with the ID | |
| # associated with the MSI for VMware Tools. | |
| function Get-VMwareToolsInstallerID { | |
| foreach ($item in $(Get-ChildItem Registry::HKEY_CLASSES_ROOT\Installer\Products)) { | |
| If ($item.GetValue('ProductName') -eq 'VMware Tools') { | |
| return @{ | |
| reg_id = $item.PSChildName; |
| #!/bin/bash | |
| # | |
| # script to extract ImageNet dataset | |
| # ILSVRC2012_img_train.tar (about 138 GB) | |
| # ILSVRC2012_img_val.tar (about 6.3 GB) | |
| # make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory | |
| # | |
| # https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md | |
| # | |
| # train/ |
Ready-to-use pyproject.toml templates for PyTorch-based neural network projects, optimized for both local development and future PyPI distribution.
pyproject-cuda128.toml — installs PyTorch with CUDA 12.8 support from the official PyTorch wheel index.pyproject-cpu.toml — pure CPU-only version using standard PyPI wheels.