hal9ai
Genann
Our great sponsors
hal9ai | Genann | |
---|---|---|
22 | 7 | |
122 | 1,901 | |
- | - | |
-22.7 | 0.0 | |
9 months ago | 7 months ago | |
TypeScript | C | |
MIT License | zlib License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hal9ai
- Show HN: Will data apps into existence with GPT-3
-
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
-
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.
-
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!
-
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
-
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
-
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.
-
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?
-
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!
Genann
- Simple neural network library in ANSI C
- Genann: Simple neural network library in ANSI C
- Machine learning Library in C?
-
Ask HN: What ML platform are you using?
> I am very much a beginner in the space of machine learning
While the (precious and useful) advice around seem to cover mostly the bigger infrastructures, please note that
you can effectively do an important slice of machine learning work (study, personal research) with just a battery-efficiency-level CPU (not GPU), in the order of minutes, on a battery. That comes before going to "Big Data".
And there are lightweight tools: I am current enamoured with Genann («minimal, well-tested open-source library implementing feedfordward artificial neural networks (ANN) in C»), a single C file of 400 lines compiling to a 40kb object, yet well sufficient to solve a number of the problems you may meet.
https://codeplea.com/genann // https://github.com/codeplea/genann
After all, is it a good idea to have tools that automate process optimization while you are learning the deal? Only partially. You should build - in general and even metaphorically - the legitimacy of your Python ops on a good C ground.
And: note that you can also build ANNs in R (and other math or stats environments). If needed or comfortable...
Also note - reminder - that the MIT lessons of Prof. Patrick Winston for the Artificial Intelligence course (classical AI with a few lessons on ANNs) are freely available. That covers the grounds relative to climb into the newer techniques.
- Small tensor library in C99
-
C Deep
Genann - Simple ANN in C89, without additional dependencies. Zlib
What are some alternatives?
arquero - Query processing and transformation of array-backed data tables.
tiny-cnn - header only, dependency-free deep learning framework in C++14
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
Recast/Detour - Industry-standard navigation-mesh toolset for games
blockly - The web-based visual programming editor.
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
starboard-notebook - In-browser literate notebooks
tensorflow - An Open Source Machine Learning Framework for Everyone
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library
ml5-library - Friendly machine learning for the web! 🤖
BayesOpt - BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.