👷♀️🚧🚧🚧👷 To strangers: this is a DRAFT. Don't do the same things as me!
Dependencies:
- Python 2.7 / 3.6
- Open Babel with Python Binding
- Officially recommended: Compile with Python Binding option enabled
- Compiling Open Babel (Latest Release: GitHub)
VioletVivirand
/ casual_advice_and_recommendations.txt
Last active
March 8, 2024 05:46
Example prompts from Llama 2 paper's P.57 (https://arxiv.org/pdf/2307.09288v2.pdf). [NOTE] To download all files of this Gist, refer to https://gist.github.com/VioletVivirand/1d55e500bcf7cc80e9759bcb160b1a1c
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| I keep losing my keys. How can I keep track of them? |
VioletVivirand
/ 0-README.md
Last active
October 19, 2021 00:22
KinBot installation (Under construction)
VioletVivirand
/ 0-revision-classify-text-into-categories-with-the-natural-language-api.txt
Last active
March 23, 2021 08:28
Revision list for Qwiklabs Challenge Labs: Classify Text into Categories with the Natural Language API (https://google.qwiklabs.com/focuses/12704?parent=catalog)
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| Revision list for Qwiklabs Challenge Labs: Classify Text into Categories with the Natural Language API (https://google.qwiklabs.com/focuses/12704?parent=catalog) |
VioletVivirand
/ 0-revision-classify-text-into-categories-with-the-natural-language-api.txt
Last active
March 23, 2021 08:14
Revision list for Qwiklabs Lab: Classify Text into Categories with the Natural Language API (https://google.qwiklabs.com/focuses/1749?parent=catalog)
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| Revision list for Qwiklabs Lab: Classify Text into Categories with the Natural Language API (https://google.qwiklabs.com/focuses/1749?parent=catalog) |
VioletVivirand
/ resume.json
Last active
February 7, 2021 08:51
My JSON Resume (https://registry.jsonresume.org/violetvivirand)
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| { | |
| "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json", | |
| "basics": { | |
| "name": "黃種平", | |
| "label": "資料工程師 @ 台灣塑膠工業股份有限公司", | |
| "picture": "", | |
| "email": "purpleslovemail@gmail.com", | |
| "phone": "", | |
| "summary": "曾擔任 6 年以上之資料分析師及資料工程師，擅長於進行機器學習領域之資料處理、收集、建立預測模型、持續整合管線、及部署推論模型事務。能快速學習新科技並應用於地端及雲端。具有醫療領域及製造業之 MLOps 建構經驗。", | |
| "location": { |
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| import random | |
| ROUNDS = 10000 # The times to re-play | |
| COUNT_CHANGE = 0 # If we change the chosen door, the times receiving the car | |
| COUNT_NOT_CHANGE = 0 # If we don't change the chosen door, the times receiving the car | |
| # Play the game, and choose to change the door after first picked | |
| for _ in range(ROUNDS): | |
| # Create 3 doors | |
| doors = {0: 0, 1: 0, 2: 0} |
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| Creator "Mark Newman on Sat Jul 22 06:24:59 2006" | |
| graph | |
| [ | |
| directed 0 | |
| node | |
| [ | |
| id 0 | |
| label "ABRAMSON, G" | |
| ] | |
| node |
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| from bs4 import BeautifulSoup | |
| # Read XML with XML parser | |
| with open('template.xml') as fp: | |
| soup = BeautifulSoup(fp, 'xml') | |
| # Modify value of a tag | |
| soup.size.width.string = 'Something New' | |
| # Equal to soup.annotation.size.width |
VioletVivirand
/ cudnn.md
Last active
November 1, 2022 00:27
Python venv and Nvidia Driver installation instruction (https://bit.ly/2E3H9Rk)
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| # Ref: https://stackoverflow.com/a/47774393/2975670 | |
| jupyter nbconvert --ClearOutputPreprocessor.enabled=True --to notebook input.ipynb --output output.ipynb | |
| jupyter nbconvert --clear-output --to notebook boston.ipynb --output output.ipynb |