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@oodavid
oodavid / README.md
Created March 26, 2012 17:05
Backup MySQL to Amazon S3

Backup MySQL to Amazon S3

This is a simple way to backup your MySQL tables to Amazon S3 for a nightly backup - this is all to be done on your server :-)

Sister Document - Restore MySQL from Amazon S3 - read that next

1 - Install s3cmd

this is for Centos 5.6, see http://s3tools.org/repositories for other systems like ubuntu etc

@joepie91
joepie91 / express-server-side-rendering.md
Last active July 26, 2024 09:56
Rendering pages server-side with Express (and Pug)

Terminology

  • View: Also called a "template", a file that contains markup (like HTML) and optionally additional instructions on how to generate snippets of HTML, such as text interpolation, loops, conditionals, includes, and so on.
  • View engine: Also called a "template library" or "templater", ie. a library that implements view functionality, and potentially also a custom language for specifying it (like Pug does).
  • HTML templater: A template library that's designed specifically for generating HTML. It understands document structure and thus can provide useful advanced tools like mixins, as well as more secure output escaping (since it can determine the right escaping approach from the context in which a value is used), but it also means that the templater is not useful for anything other than HTML.
  • String-based templater: A template library that implements templating logic, but that has no understanding of the content it is generating - it simply concatenates together strings, potenti
@anirban94chakraborty
anirban94chakraborty / tensorflow-gpu-in-jupyter-lab.md
Last active February 12, 2024 16:38
Install Tensorflow-GPU (for NVIDIA GPUs) for use in JupyterLab using Anaconda

Install Tensorflow-GPU (for NVIDIA GPUs) for use in JupyterLab using Anaconda

This tutorial is for computers with NVIDIA GPUs installed.

Tensorflow for GPU significantly reduces the time taken by Deep Neural Networks (like CNNs, LSTMs, etc) to complete each Epoch (compute cycle) by utilizing the CUDA cores present in the GPU for parallel processing.

The following steps are to be followed:

  1. Make sure that you have installed the latest drivers of your NVIDIA GPU for your OS.
@SinclairCoder
SinclairCoder / README_hfd.md
Created November 11, 2023 12:02 — forked from padeoe/README_hfd.md
Command-line Tool for Easy Downloading of Huggingface Models

🤗Huggingface Model Downloader

Update: The previous version has a bug. When resuming from a breakpoint, there may be an issue causing incomplete files. Please update to the latest version!!!

Considering the lack of multi-threaded download support in the official huggingface-cli, and the inadequate error handling in hf_transfer, this command-line tool smartly utilizes wget or aria2 for LFS files and git clone for the rest.

Features

  • ⏯️ Resume from breakpoint: You can re-run it or Ctrl+C anytime.
  • 🚀 Multi-threaded Download: Utilize multiple threads to speed up the download process.
  • 🚫 File Exclusion: Use --exclude to skip specific files, save time for models with duplicate formats (e.g., .bin and .safetensors).
  • 🔐 Auth Support: For gated models that require Huggingface login, use --hf_username and --hf_token to authenticate.
@vitorcalvi
vitorcalvi / cuda_11.8_installation_on_Ubuntu_22.04
Last active June 12, 2024 16:19 — forked from MihailCosmin/cuda_11.8_installation_on_Ubuntu_22.04
Instructions for CUDA v11.8 and cuDNN 8.7 installation on Ubuntu 22.04 for PyTorch 2.0.0
#!/bin/bash
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###
# Function to print messages