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@dusty-nv
dusty-nv / pytorch_jetson_install.sh
Last active October 21, 2021 01:28
Install procedure for pyTorch on NVIDIA Jetson TX1/TX2 with JetPack <= 3.2.1. For JetPack 4.2 and Xavier/Nano/TX2, see https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/
#!/bin/bash
#
# EDIT: this script is outdated, please see https://forums.developer.nvidia.com/t/pytorch-for-jetson-nano-version-1-6-0-now-available
#
sudo apt-get install python-pip
# upgrade pip
pip install -U pip
pip --version
# pip 9.0.1 from /home/ubuntu/.local/lib/python2.7/site-packages (python 2.7)
@p3jitnath
p3jitnath / opencv-4.2.0-cuda-10.1-Ubuntu-20.04.md
Last active May 15, 2024 10:11
Step-by-Step Guide to build OpenCV 4.2.0 with CUDA 10.1 on Ubuntu 20.04

How to install OpenCV 4.2.0 with CUDA 10.1 on Ubuntu 20.04 LTS (Focal Fossa)

Install updates and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Install required libraries:

@idelem
idelem / titleUrlMarkdownClip.js
Last active November 2, 2024 22:16 — forked from bradleybossard/titleUrlMarkdownClip.js
Bookmarklet to copy current page title and url in Markdown format to clipboard, like [title](url) - Usual for posting links to resources in README.md files
javascript:(function() {
function copyToClipboard(text) {
if (window.clipboardData && window.clipboardData.setData) {
/*IE specific code path to prevent textarea being shown while dialog is visible.*/
return clipboardData.setData("Text", text);
} else if (document.queryCommandSupported && document.queryCommandSupported("copy")) {
var textarea = document.createElement("textarea");
textarea.textContent = text;
@business24ai
business24ai / save_note_to_obsidian.py
Created December 31, 2023 11:29
An AutoGen Studio skill to store markdown content to our second brain obsidian
# A skill to store markdown content to our second brain obsidian
import os
def store_note_to_obsidian(filename, content):
"""
Store markdown content to our second brain in a local Obsidian vault
:param filename: str, filename of the note
:param content: str, content of the note as markdown
import requests
from yahooquery import Ticker
import dspy
from config import OPENAI_API_KEY, SERPAPI_API_KEY
llm = dspy.OpenAI(model='gpt-3.5-turbo',api_key=OPENAI_API_KEY, max_tokens=2000)
dspy.settings.configure(lm=llm)