khanhlvg

## Sep 2023 update: We've released official support for MediaPipe on Raspberry Pi. 
## It provides many more features to what's available in TFLite Task Library. The guide
## below has been updated to use MediaPipe instead of TFLite Task Library.
## Check out this blog post to learn more:
## https://developers.googleblog.com/2023/08/mediapipe-for-raspberry-pi-and-ios.html

# Show your Raspberry Pi OS version.
cat /etc/os-release

# Update packages on your Raspberry Pi OS.

qin-yu

Use TensorFlow with GPU support on Ubuntu with Docker

Docker is the easiest way to run TensorFlow on a GPU since the host machine only requires the NVIDIA® driver (the NVIDIA® CUDA® Toolkit is not required).

Table of Contents

• Use TensorFlow with GPU support on Ubuntu with Docker
  • Table of Contents
  • System tested
  • Install Docker Engine - Community (using the repository)
• Set up the repository

wangruohui

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

rougier

def binomial(n, k):
    """
    A fast way to calculate binomial coefficients by Andrew Dalke.
    See http://stackoverflow.com/questions/3025162/statistics-combinations-in-python
    """
    if 0 <= k <= n:
        ntok = 1
        ktok = 1
        for t in xrange(1, min(k, n - k) + 1):
            ntok *= n