hal9ai
regression-js
Our great sponsors
hal9ai | regression-js | |
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22 | 2 | |
122 | 927 | |
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-22.7 | 0.0 | |
9 months ago | over 1 year ago | |
TypeScript | JavaScript | |
MIT License | MIT License |
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hal9ai
- Show HN: Will data apps into existence with GPT-3
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PyScript
We are not using libfortran not gdpr, we are basically using whatever libraries are available for the web. Since most data scientists don't want to use JS per se, you can build the apps as blocks in the Hal9 site or using a soon-to-be-released Python/R package, see https://notebooks.hal9.com
Feel free to check out our repo as well, all the "primitives" / blocks code is in the scripts folder: https://github.com/hal9ai/hal9ai
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Ask HN: Can you share websites that are pushing the utility of browsers forward?
https://hal9.com helps data scientists build faster web applications.
It uses WebGL and WebAssembly to process larger datasets, perform inference in the browser with TensorFlow.js, and enables running Python code with Pyodide.
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Ask HN: What ML platform are you using?
If you want to build a web application on top of your ML project, give https://hal9.com a shot. We designed Hal9 with ease of use for deployment and maximum compatibility with web technologies that enable you to build ML apps with React, Vue, etc. We launched a couple months ago but could use some early feedback and users. Thank you!
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Built data analysis platform optimized for web developers
BTW. If you are ever interested in helping us out, you can send a PR's to our GitHub repo. For instance, the summarize and convert blocks are here: https://github.com/hal9ai/hal9ai/blob/main/scripts/transforms/summarize.txt.js and https://github.com/hal9ai/hal9ai/blob/main/scripts/transforms/convert.txt.js
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PyFlow – visual and modular block programming in Python
We are working in https://hal9.com which is language agnostic and allows you to compose different programming languages; however, we are focused at the moment at 1D-graphs but have plans to support 2D-graphs in the coming weeks.
If you want a demo or just time to chat, I'm available at javier at hal9.ai.
- hal9ai: Web-First Composable Data Pipelines
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Mlflow, fastapi, streamlit template Project
We would love to help out since this is a perfect use case for https://hal9.ai; we are about to release our beta version that makes this as easy as copy-pasting code. You can find me at javier at hal9.ai to find some time to chat and give you a walkthrough of our code-to-api functionality.
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Flask with react.js
Hi there, would love to help you out. We are building a JavaScript + Python/R/AI service called https://hal9.ai to enable you to build React/Vue/Svelte/Angular apps against Python/R models. Want to send me an email to javier at hal9.ai to chat and help out?
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Is BI dead? – On dismantling data's ship of Theseus
Would love to hear your feedback for https://hal9.ai -- We are building an open source platform for data analysis based on reusable code blocks and a community to build and monetize their contributions. We are pretty early in our journey, launched our alpha and getting ready for our beta release, but would love to hear your thoughts. You can find me at javier at hal9.ai. Cheers!
regression-js
- Data Science with JavaScript: What we've learned so far?
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Hal9: Data Science with JavaScript
Modeling: We are currently exploring this space so our findings are not final yet but let me share what we've found so far. TensorFlow.js is absolutely amazing, it provides a native port from TensorFlow to JavaScript with CPU, WebGL, WebAssembly and NodeJS backends. We were able to write an LSTM to do time series prediction, so far so good. However, we started hitting issues when we started to do simpler models, like a linear regression. We tried Regression.js but we found it falls short, so we wrote our own script to handle single-variable regressions using TF.js and gradient decent. It actually worked quite well but exposed a flaw in this approach; basically, there is a lot of work to be done to bring many models into the web. We also found out Arquero.js does not play nicely with TF.js since well, Arquero.js does not support tensors; so we went on to explore Danfo.js, which integrates great with TF.js but we found out it's hard to scale it's transformations to +1M rows and found other rough edges. Since then, well, we started exploring Pyodide and perhaps contributing to Danfo.js, or perhaps involve more server-side compute, but that will be a story for another time.
What are some alternatives?
arquero - Query processing and transformation of array-backed data tables.
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
examples - TensorFlow examples
blockly - The web-based visual programming editor.
dplyr - dplyr: A grammar of data manipulation
starboard-notebook - In-browser literate notebooks
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Keras - Deep Learning for humans
ml5-library - Friendly machine learning for the web! 🤖