Note
This no longer works in browser!
Note
This no longer works if you're alone in vc! Somebody else has to join you!
How to use this script:
- Accept the quest under User Settings -> Gift Inventory
I have a couple of AI/ML projects related to mapping things, often conservation related, with remote sensing data. Some details and packages will vary, but the process below describes how I generally approach these types of problems. Some of these tools I have only touched briefly, but I like them, and this is more an outline of how I would like to approach a new project than a retrospective look at my previous work.
We use AWS, so it makes sense to use datasets and services that are already hosted on AWS. The data discovery and loading part of this process would look somewhat different if we were using Azure and Planetary Computer, and very different if we were using GCP and Earth Engine.
All of my analysis will be done using python on an AWS VM in the same region as my data on S3, Probably using VSCode on Sagemaker or [JupyterLab](https://docs.aws.amazo
Function Get-LocalGroupMembers | |
{ | |
param( | |
[Parameter(ValuefromPipeline=$true)][array]$server = $env:computername, | |
$GroupName = $null | |
) | |
PROCESS { | |
$finalresult = @() | |
$computer = [ADSI]"WinNT://$server" |
So you want to write a sync system for a web app with offline and realtime support? Good luck. You might find the following resources useful.
Database in a browser, a spec (Stepan Parunashvili)
What problem are we trying to solve with a sync system?
The web of tomorrow (Nikita Prokopov)
#!/usr/bin/env bash | |
function p() { | |
jq -n \ | |
--arg content "$*" \ | |
'{ | |
"model": "pplx-7b-online", | |
"messages": [ | |
{ | |
"role": "system", | |
"content": "Be precise and concise." |
A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.
Name | Stars | Last Commit | Description |
---|---|---|---|
three.js | ![GitHub |
import operator | |
import re | |
def pairs(l): | |
return zip(l[::2], l[1::2]) | |
def vm(ops, env={}): | |
class closure: | |
def __init__(self, pc, env): self.pc, self.env = pc, env | |
def popn(n): |