SaaSHub helps you find the best software and product alternatives Learn more →
Top 23 HTML Machine Learning Projects
-
unstructured
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
I've been thinking a lot about how to accomplish various RAG things in Elixir (for LLM applications). PDF is one of the missing pieces, so glad to see work here. The really tricky part is not just parsing out the text (you can just call the pdftotext unix command line utility for that), but accurately pulling out things like complex tables, etc in a way that could be chunked/post processed in a useful way. I'd love to see something like Unstructured or Marker but in Rust that Elixir could NIF out to it.
- https://github.com/Unstructured-IO/unstructured#eight_pointe...
- https://github.com/VikParuchuri/marker
-
Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
-
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
-
-
-
-
-
awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
-
InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
- Project mention: Show HN: Interactive explainable AI as mlflow artifacts | news.ycombinator.com | 2025-07-23
what-if tool (though it's not actively maintained): https://github.com/PAIR-code/what-if-tool
-
-
-
TradingView-Machine-Learning-GUI
Start your trading journey with this project's advanced stop loss/take profit generator, enhancing your TradingView strategy. Utilize sklearn's machine learning algorithms for superior strategy optimization and maximize your trading potential.
-
meme-search
The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.
-
-
awesome-python
🐍 Hand-picked awesome Python libraries and frameworks, organised by category (by dylanhogg)
-
extractnet
A fork of Dragnet that also extract author, headline, date, keywords from context, as well as built in metadata extraction all in one package
-
-
cs229-2019-summer
All notes and materials for the CS229: Machine Learning course by Stanford University
-
-
-
-
- Project mention: Demos for "Linear Algebra for DS, ML, and SP" Book in Julia | news.ycombinator.com | 2025-04-19
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
HTML Machine Learning discussion
HTML Machine Learning related posts
-
Why do LLMs freak out over the seahorse emoji?
-
Show HN: A bleep machine for audio/video that lives in the browser
-
Apache Mahout: Open Source Funding and Community Innovation in a Blockchain Era
-
Demos for "Linear Algebra for DS, ML, and SP" Book in Julia
-
Microsoft's Open-Source ML Curriculum Is Best to Learn ML from Scratch
-
Neural DSL v0.2.6: Enhanced Dashboard UI & Blog Support
-
Apache Mahout: A Deep Dive into Open Source Innovation and Funding Models
- A note from our sponsor - SaaSHub www.saashub.com | 23 Dec 2025
Index
What are some of the best open-source Machine Learning projects in HTML? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | unstructured | 13,454 |
| 2 | deep-learning-drizzle | 12,701 |
| 3 | Awesome-Diffusion-Models | 12,090 |
| 4 | data-science-interviews | 9,663 |
| 5 | kaggle-solutions | 6,234 |
| 6 | awesome-mlss | 2,918 |
| 7 | awesome-streamlit | 2,226 |
| 8 | what-if-tool | 982 |
| 9 | papers-I-read | 951 |
| 10 | ML-University | 921 |
| 11 | TradingView-Machine-Learning-GUI | 880 |
| 12 | meme-search | 618 |
| 13 | bio_embeddings | 502 |
| 14 | awesome-python | 421 |
| 15 | extractnet | 297 |
| 16 | openunivcourses | 254 |
| 17 | cs229-2019-summer | 251 |
| 18 | GBM-perf | 223 |
| 19 | feature-engineering-az | 151 |
| 20 | dkm | 94 |
| 21 | Open-Source-Gallery | 86 |
| 22 | book-la-demo | 73 |
| 23 | DeepCite | 69 |