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Top 15 HTML NLP Projects
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unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc. (by milvus-io)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Giveme5W1H
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
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awesome-python
🐍 Hand-picked awesome Python libraries and frameworks, organised by category (by dylanhogg)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Conversations
A chat-bot that is community-driven and open source – powered by you! (WIP) (by MarketingPipeline)
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datalabel
datalabel is a UI-based data editing tool that makes it easy to create labeled text data in a dataframe. With datalabel, you can quickly and effortlessly edit your data without having to write any code. Its intuitive interface makes it ideal for both experienced data professionals and those new to data editing.
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SaaSHub
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Be careful with unstructured:
https://github.com/Unstructured-IO/unstructured/blob/d11c70c...
That's with DFA minimization. Also, '\w' has 311 states while '(?-u)\w' has 5 states.
I don't have a precise definition of enormous or impractical. Does it matter? I suppose one obvious one is when DFA construction time starts having a significant impact on total search times.
> Additionally, the results are not the same: the number of matches is not equal to 7882. How could I make `\w` conform to other regex implementations in ripgrep?
By following UTS#18: https://unicode.org/reports/tr18/#word
Most regex engines make \w be ASCII-only by default. But most also have a way to opt into Unicode-aware mode. RE2, Go's regexp and ECMAScript are popular regex engines that have no way to change the interpretation of \w.
> Fair question how regex compilers handle nefarious regexes. Go does not handle NFA with more than 1000 states, and, as you observed, we added some more restrictions when processing the NFA. It can be an interesting academic exercise to find monstrous regexes, but we haven't encountered useful regexes that hit these limits. But I guess you know some...
It's definitely not academic. People use regexes for lexers. People use big regexes to recognize certain things like email addresses and dates. Here's a real regex used in real software to identify dates in unstructured text for example: https://github.com/akoumjian/datefinder/blob/5376ece0a522c44...
Otherwise, as I hinted at above, the thing that can make regexes very large very quickly is when you mix Unicode classes with counted repetitions. It doesn't take a lot to make them "big."
To be transparent, the actual scoring algorithm used on the site can be viewed here, and the data with all source features is available also if you want play with it.
Project mention: How do I get GPT to look through hundreds of pages of PDFs? | /r/OpenAI | 2023-04-24It has a community-maintained library.
Thanks for sharing, that looks great! That Datapane example is more a hello world web app that runs Python code in the backend (so requires a backend server - Fly.io in this example).
An example of a standalone report would be something like this, from one of our users: https://cloud.datapane.com/reports/dkjbvwk/literature-in-blo... (code: https://github.com/ryancahildebrandt/hanakotoba) or https://cloud.datapane.com/reports/aAMaqoA/when-fact-is-fals...
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2024-04-01.
HTML NLP related posts
- Unstructured – OSS libraries and APIs to build custom preprocessing pipelines
- More intelligent Pdf parsers
- Help extracting data from multiple PDF's
- Any way to convert my handwritten diary to searchable PDFs?
- Pre-processing text documents such as PDFs, HTML and Word Documents for LLMs
- How can I convert restaurant’s traditional menu in pdf file to well structured list of menu items with prices in Excel file? Thank you
- There is any other simple library for create agents // apps with LLM
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Apr 2024
Index
What are some of the best open-source NLP projects in HTML? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | unstructured | 5,750 |
| 2 | bootcamp | 1,606 |
| 3 | datefinder | 625 |
| 4 | Sherlock | 517 |
| 5 | Giveme5W1H | 500 |
| 6 | awesome-python | 232 |
| 7 | botfuel-dialog | 101 |
| 8 | rgpt3 | 94 |
| 9 | stripnet | 85 |
| 10 | speaking_with_plato | 8 |
| 11 | go-htmldate | 4 |
| 12 | Conversations | 3 |
| 13 | datalabel | 2 |
| 14 | hanakotoba | 1 |
| 15 | nfl-prospects-nlp | 1 |
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