alvations
/ voices.txt
Created
May 20, 2023 05:08
— forked from mculp/voices.txt
List of voices available by the `say` command on OS X
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| Agnes en_US # Isn't it nice to have a computer that will talk to you? | |
| Albert en_US # I have a frog in my throat. No, I mean a real frog! | |
| Alex en_US # Most people recognize me by my voice. | |
| Alice it_IT # Salve, mi chiamo Alice e sono una voce italiana. | |
| Alva sv_SE # Hej, jag heter Alva. Jag är en svensk röst. | |
| Amelie fr_CA # Bonjour, je m’appelle Amelie. Je suis une voix canadienne. | |
| Anna de_DE # Hallo, ich heiße Anna und ich bin eine deutsche Stimme. | |
| Bad News en_US # The light you see at the end of the tunnel is the headlamp of a fast approaching train. | |
| Bahh en_US # Do not pull the wool over my eyes. | |
| Bells en_US # Time flies when you are having fun. |
alvations
/ dispatch_openai_requests.py
Created
April 21, 2023 18:19
— forked from neubig/dispatch_openai_requests.py
A simple script to get results from the OpenAI Asynchronous API
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| import openai | |
| import asyncio | |
| from typing import Any | |
| async def dispatch_openai_requests( | |
| messages_list: list[list[dict[str,Any]]], | |
| model: str, | |
| temperature: float, | |
| max_tokens: int, | |
| top_p: float, |
alvations
/ ChatGPT-Dan-Jailbreak.md
Created
March 27, 2023 04:11
— forked from coolaj86/ChatGPT-Dan-Jailbreak.md
alvations
/ gist:e6bd5cb10e1955f17336c7d9f806fc2a
Created
December 20, 2021 20:32
— forked from vjache/gist:8ea7b77f6854bda98c4867ff47c86bf3
urls.txt
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| https://www.coop.ch/de/navigation/meganav/get?categoryCode=m_0475&_=1629798238733 | |
| https://www.amazon.com/dp/B0009R5B3U?th=1 | |
| https://play.google.com/_/PlayStoreUi/data/batchexecute?rpcids=qnKhOb&bl=boq_playuiserver_20191117.08_p1&gl=my&hl=ms&authuser&soc-app=121&soc-platform=1&soc-device=1&rt=c | |
| https://www.coop.ch/de/lebensmittel/vorraete/pastasaucen-warme-saucen/saucen-gemischt/c/m_0166 | |
| https://www.amazon.com.au/gp/aod/ajax/ref=aod_f_freeShipping?asin=B08CXNTJ89&pageno=1&pc=dp | |
| https://losangeles.craigslist.org/lac/ofc/d/san-diego-market-research-project/7369959933.html | |
| https://www.bestbuy.ca/api/offers/v1/products/10434538/offers | |
| https://www.zillow.com/homes/5266-S-Umatilla-Ave-Boise-ID-83709_rb | |
| https://www.yelp.com/not_recommended_reviews/dannys-rv-repair-williams?not_recommended_start=40 | |
| https://www.nytimes.com/1910/05/06/archives/foot-caught-train-hit-her-girls-shoe-fast-in-track-frog-as-an.html |
alvations
/ mean_target_encoding.py
Created
September 29, 2017 11:49
— forked from ogrisel/mean_target_encoding.py
Mean target value encoding for categorical variable using dask
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| import os | |
| import os.path as op | |
| from time import time | |
| import dask.dataframe as ddf | |
| import dask.array as da | |
| from dask import delayed, compute | |
| from distributed import Client | |
| def make_categorical_data(n_samples=int(1e7), n_features=10): |
alvations
/ dynet-tagger.py
Created
August 27, 2017 00:28
— forked from neubig/dynet-tagger.py
A small sequence labeler in DyNet
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| """ | |
| DyNet implementation of a sequence labeler (POS taggger). | |
| This is a translation of this tagger in PyTorch: https://gist.github.com/hal3/8c170c4400576eb8d0a8bd94ab231232 | |
| Basic architecture: | |
| - take words | |
| - run though bidirectional GRU | |
| - predict labels one word at a time (left to right), using a recurrent neural network "decoder" | |
| The decoder updates hidden state based on: | |
| - most recent word |
alvations
/ mini_sequence_labeler.py
Created
August 22, 2017 00:06
— forked from hal3/mini_sequence_labeler.py
PyTorch implementation of a sequence labeler (POS taggger).
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| """ | |
| PyTorch implementation of a sequence labeler (POS taggger). | |
| Basic architecture: | |
| - take words | |
| - run though bidirectional GRU | |
| - predict labels one word at a time (left to right), using a recurrent neural network "decoder" | |
| The decoder updates hidden state based on: | |
| - most recent word |
alvations
/ colors.py
Created
July 13, 2017 01:10
— forked from sheljohn/colours-old.py
Print with colors in most shells (Python, standalone)
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| class ColorPrinter: | |
| """ | |
| Usage: | |
| cprint = ColorPrinter() | |
| cprint.cfg('c','m','bux').out('Hello','World!') | |
| cprint.rst().out('Bye now...') | |
| See: http://stackoverflow.com/a/21786287/472610 | |
| See: https://en.wikipedia.org/wiki/ANSI_escape_code | |
| """ |
alvations
/ colors.py
Created
July 13, 2017 01:10
— forked from sheljohn/colours-old.py
Print with colors in most shells (Python, standalone)
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| class ColorPrinter: | |
| """ | |
| Usage: | |
| cprint = ColorPrinter() | |
| cprint.cfg('c','m','bux').out('Hello','World!') | |
| cprint.rst().out('Bye now...') | |
| See: http://stackoverflow.com/a/21786287/472610 | |
| See: https://en.wikipedia.org/wiki/ANSI_escape_code | |
| """ |
alvations
/ docx2md.md
Created
May 4, 2017 09:07
— forked from vdavez/docx2md.md
Convert a Word Document into MD
A lot of important government documents are created and saved in Microsoft Word (*.docx). But Microsoft Word is a proprietary format, and it's not really useful for presenting documents on the web. So, I wanted to find a way to convert a .docx file into markdown.
As it turns out, there are several open-source tools that allow for conversion between file types. Pandoc is one of them, and it's powerful. In fact, pandoc's website says "If you need to convert files from one markup format into another, pandoc is your swiss-army knife." But, although pandoc can convert from markdown into .docx, it doesn't work in the other direction.
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