- Papers with Code for Open X-Embodiment dataset
- Bridge Data for Robotic Arm manipulation Task
- General Robotic Navigation Models Page General Robotic Navigation Models Page
- A General-Purpose Robotic Navigation Model Video
- Autonomous finetuning : https://auto-improvement.github.io/
- EmbodiedAI video resources
- end2end EmbodiedAI
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| @echo off | |
| :: Display the full path of this batch file for debugging | |
| :: echo Debug: Batch file path: %~f0 | |
| :: Get the full path of this batch file | |
| set "batchFilePath=%~f0" | |
| :: Get the base name (without extension) of the batch file | |
| set "baseName=%~n0" | |
| :: echo Debug: Base name of batch file: %baseName% |
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| // ==UserScript== | |
| // @name Export Wealthsimple transactions to CSV for YNAB | |
| // @namespace wealthsimple.activity.export | |
| // @version 20260208 | |
| // @description Export transactions from Wealthsimple to a CSV file for YNAB import with enhanced Payee info | |
| // @author https://gist.github.com/shotasenga | |
| // @author https://gist.github.com/kaipee | |
| // @author https://gist.github.com/mark05e | |
| // @downloadURL https://gist.githubusercontent.com/mark05e/4e8bcfa54df846529a0bd756c27f2222/raw | |
| // @updateURL https://gist.githubusercontent.com/mark05e/4e8bcfa54df846529a0bd756c27f2222/raw |
This guide outlines the process of extracting custom font icons from a font file (EV-IVR--Script-Studio) using FontForge. With the assistance of Meta AI, we successfully extracted the required icons in SVG format.
Analysis of the Certificate Authorities accessible within AWS Lambda.
- Install python version similar to one installed on aws lambda (eg: 3.12)
- Download
cryptographypackage intopythonsubfolder using command listed at https://docs.aws.amazon.com/lambda/latest/dg/python-package.html#python-package-create-update - Zip
pythonfolder and upload to layers. - Create python function with below code
- Assign cryptography layer to python function.
winget install -e --id Git.Git
winget install -e --id=Python.Python.3.13
winget install -e --id Microsoft.VisualStudioCode
winget install -e --id Microsoft.PowerShell
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| # Get all files in the current directory, excluding the output file | |
| Get-ChildItem -File | Where-Object {$_.Name -ne "file_contents.txt"} | ForEach-Object { | |
| # Print the filename | |
| "Filename: $($_.Name)" | |
| # Print the file contents | |
| "Contents:" | |
| Get-Content -Path $_.FullName | |
| "------------------------" | |
| } | Out-File -FilePath "file_contents.txt" -Encoding utf8 |
Find_/_Replace({'option':'Simple string','string':'""'},'"',true,false,true,false)
Find_/_Replace({'option':'Regex','string':'"CASE'},'CASE',true,false,true,false)
Find_/_Replace({'option':'Simple string','string':'}"'},'}',true,false,true,false)
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| // https://ringcentral.github.io/ringcentral-embeddable/ | |
| function dialNumber(number) { | |
| const buttonSelector = "#viewport > div > div > div.sc-eIcdZJ.czoGgN > div.sc-BQMaI.bHaYic > div.sc-epqpcT.cBEqvY > div > div.sc-gvPdwL.lcuqyY > div.sc-ggqIjW.gfQTjQ > div > button:nth-child({index})"; | |
| const digits = number.toString().split(''); | |
| const delay = 500; // 50ms delay between each press | |
| digits.forEach((digit, index) => { | |
| setTimeout(() => { |