PyNeuraLogic
gradio
PyNeuraLogic | gradio | |
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7 | 116 | |
267 | 28,987 | |
- | 3.7% | |
8.0 | 9.9 | |
6 days ago | 3 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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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.
PyNeuraLogic
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[P] PyNeuraLogic - a framework for writing differentiable logic programs
Hi, sure. With this framework, you can write and train deep learning models similarly to PyTorch or TensorFlow. Although the main aim of PyNeuraLogic is on deep relational learning and it uses custom declarative language (implemented in Python). Best fitting use cases are everything where you can utilize relations. One of those use-cases that we are promoting right now is on Graph Neural Networks (GNNs), where you have relations between nodes (such as social networks, molecules). You can then utilize those relations and do regular tasks on graphs, such as link prediction, graph classification, node classification, etc. GNNs quite nicely fit the framework and its language and can be expressed just in one line (as shown in the README). The concrete use-case of PyNeuraLogic on GNNs could then be a molecule classification (example). Other use-cases could be for NLP (we have todo to write an example for it) or knowledge base completion. You could also use it like a regular framework without utilizing relations, but in that case, it might be more efficient to go with PyTorch or TensorFlow.
- Show HN: Evaluate Deep Learning models directly in a database with PyNeuraLogic
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Why Hypergraphs? (2013)
For an original proposal that do logic inference on Hypergraphs I am using NeuraLogic, through a Python frontend (https://github.com/LukasZahradnik/PyNeuraLogic)
I wonder if this is something the author would have enjoyedβ¦
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This Week in Python
PyNeuraLogic β PyNeuraLogic lets you use Python to create Differentiable Logic Programs
- GitHub - LukasZahradnik/PyNeuraLogic: PyNeuraLogic lets you use Python to create Differentiable Logic Programs
- Show HN: PyNeuraLogic: Python Differentiable Logic Programs
gradio
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AI enthusiasm #9 - A multilingual chatbotπ£πΈ
gradio is a package developed to ease the development of app interfaces in python and other languages (GitHub)
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Show HN: Dropbase β Build internal web apps with just Python
There's also that library all the AI models started using that gives you a public URL to share. After researching it: https://www.gradio.app/ is the link.
It's used specifically for making simple UIs for machine learning apps. But I guess technically you could use it for anything.
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Show HN: Taipy β Turns Data and AI algorithms into full web applications
What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?
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ππ 23 issues to grow yourself as an exceptional open-source Python expert π§βπ» π₯
Repo : https://github.com/gradio-app/gradio
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a Lightweight AI Model and Framework for Text Summarization in the Browser using JavaScript
There's TensorFlow.js for running machine learning on JavaScript, but personally, I'd prefer using the Python Gradio package, which is designed for creating UIs for machine learning inference demos.
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Gradio sharable link expires too soon ( 30 mins to 1 hour, instead of lasting 72 hours )
I found an issue on gradio github but looks like it's closed so I am not sure if it's still a common issue or only I am facing it due to certain settings/absence of a fix. ( https://github.com/gradio-app/gradio/issues/3060 )
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I gave commit rights to someone I didn't know
I disagree hard with this β for instance I've recently needed to dig into the code for the Gradio library, and when PRs are like https://github.com/gradio-app/gradio/pull/3300 (and the merge commit's message is what it is) it's hard to understand why some decisions have been made when doing `git annotate` later on.
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Introducing CommanderGPT. A project I been working for Desktop Automation.
Gradio for a ui that your commanderGPT can visit and use
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[HELP] Anybody know where the .html files are?
gradio is documented, it doesn't seem very complex, it would be something like moving this block under the other one. i think it's ui_extra_networks.py, the file you are looking to edit. (if you do it make a copy to restore when you go to update)
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Is there a way to "share" my stable diffusion with a friend?
Gradio did have an issue for a while where your URL was guessable, so unless you had a password it was pretty easy to find, but as far as I know they've increased the complexity so much that it's no longer an issue.
What are some alternatives?
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stable-diffusion-webui - Stable Diffusion web UI
hatch - Modern, extensible Python project management
django-colorfield - :art: color field for django models with a nice color-picker in the admin.
pytorch_geometric - Graph Neural Network Library for PyTorch [Moved to: https://github.com/pyg-team/pytorch_geometric]
panel - Panel: The powerful data exploration & web app framework for Python
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
gpt4all - gpt4all: run open-source LLMs anywhere
typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB
CustomTkinter - A modern and customizable python UI-library based on Tkinter