wer_are_we
awesome-public-datasets
wer_are_we | awesome-public-datasets | |
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4 | 79 | |
1,862 | 58,643 | |
- | 1.1% | |
1.8 | 5.1 | |
almost 2 years ago | 29 days ago | |
- | MIT License |
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wer_are_we
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Lichess Voice Recognition Beta is now Live!
https://github.com/syhw/wer_are_we https://github.com/Franck-Dernoncourt/ASR_benchmark#benchmark-results
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OpenAI Whisper Model Comparison
Great breakdown… with some interesting results and a ton of effort.
Are there any open benchmarks like this for all models that are actually runnable like the data exposed in https://github.com/syhw/wer_are_we but with some of your additional metrics?
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Whisper – open source speech recognition by OpenAI
The authors do explicitly state that they're trying to do a lot of fancy new stuff here, like be multilingual, rather than pursuing just accuracy.
[1] https://github.com/syhw/wer_are_we
- This sub is NOT bullying you
awesome-public-datasets
- Awesome Public Datasets
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How to practice data analytics skills
Merry Christmas buddy.
You'll find a ton of public datasets on GitHub [1].
Maven Analytics offers a monthly data analytics challenge [2] that you can enter for free. See their past competitions for some interesting datasets.
As I'm based in Ireland I'll also recommend the Irish Data Portal [3].
[1] https://github.com/awesomedata/awesome-public-datasets
- Are there people out there who still like Sam atlman - AI IS AT DANGER
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The Data Engineering Docker-Compose Starter Kit
The “data.csv” file contains historical weather data from Tel Aviv, sourced from another article I wrote. If you wish, you can swap it with a public dataset, for example, from here.
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suggestions for personal GitHub projects in economics/econometrics
If you want something personal and fun, you will need lots of different data. As such, you can take a look at these publicly available datasets. Maybe you can find out some interesting relationships.
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Where do you get your data when you have an obscure idea for a dashboard?
Some others I use: https://data.world/search This github project with links: https://github.com/awesomedata/awesome-public-datasets Data.fivethirtyeight.com r/datasets and similar subreddits can also be of help.
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Full Stack Data Science Project Ideas
There's a lot in here; it's a good start.
- Where to find big datasets?
- How do you keep track of useful datasets?
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Complete: D214 - MSDA Capstone
Github: Awesome Public Datasets I didn't find much of use here for me, as much of this was either very specialized or very large datasets. But maybe you'll find something of use, here.
What are some alternatives?
plaidml - PlaidML is a framework for making deep learning work everywhere.
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.
tidytuesday - Official repo for the #tidytuesday project
DeepSpeech-examples - Examples of how to use or integrate DeepSpeech
reddit-top-2.5-million - This is a dataset of the all-time top 1,000 posts, from the top 2,500 subreddits by subscribers, pulled from reddit between August 15–20, 2013.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
tensorboard - TensorFlow's Visualization Toolkit
py-webrtcvad - Python interface to the WebRTC Voice Activity Detector
data - Data and code behind the articles and graphics at FiveThirtyEight
trashbot - Trashbot helper AI assistant
zsv - zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser