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BioMachineLearning / openpom
Forked from ARY2260/openpomReplication of the Principal Odor Map paper by Lee et al (2022). The model is implemented such that it integrates with DeepChem
A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.
GraphRAG using Local LLMs - Features robust API and multiple apps for Indexing/Prompt Tuning/Query/Chat/Visualizing/Etc. This is meant to be the ultimate GraphRAG/KG local LLM app.
Customizable Icons for React Native with support for image source and full styling.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
A framework for prompt tuning using Intent-based Prompt Calibration
Create useful .gitignore files for your project
Rapid Application Development (RAD) Environment for Autodesk Revit®
LlamaIndex is a data framework for your LLM applications
A simple component to display d3graph network graphs in Streamlit apps.
Reference implementations of several LangChain agents as Streamlit apps
Accurate answers and instant citations for your documents.
Efficient Automated Knowledge Graph Generation for Large Language Models
A complete computer science study plan to become a software engineer.
Streamlit — A faster way to build and share data apps.
Neo4j graph construction from unstructured data using LLMs
🔍 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your da…
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Converts text input or URL into knowledge graph and displays
🦜🔗 Build context-aware reasoning applications