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Name: Michael Schmidt
Type: User
Bio: I created the portfolio in 2024, therefore the dates are 2024. Before that I either computed locally or used Colab without GitHub
Location: Munich
Name: Michael Schmidt
Type: User
Bio: I created the portfolio in 2024, therefore the dates are 2024. Before that I either computed locally or used Colab without GitHub
Location: Munich
A Langchain app that allows you to chat with multiple PDFs. Forked but adapted
A curated list of Knowledge Graph related learning materials, databases, tools and other resources
Go ahead and axolotl questions
Datasets for Knowledge Graph Completion with textual information about the entities
The Leek group guide to data sharing
Docker Essential Training
Based on let-s-discover-more-about-the-olympic-games.ipynb let-s-discover-more-about-the-olympic-games.ipynb
Demonstrate integration of Senzing and Neo4j to construct an Entity Resolved Knowledge Graph
Compilation of high-profile real-world examples of failed machine learning projects
From https://www.dagshub.com/ThomIves/FastAPI_Learning_And_Dev/src/master/Basic_Methods/My_FastAPI.ipynb
Based on @maximelabonne's ipynb
De-facto forked from https://github.com/docker/genai-stack
From https://gitlab.com/rahasak-labs/gpt4all. Unfortunately forking from Gitlab to Github is not possible.
Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
Graph based retrieval + GenAI = Better RAG in production
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
Representation learning on large graphs using stochastic graph convolutions.
Repository for all ArangoDB interactive tutorial notebooks.
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Nach dem Colab von Ivan Reznikov
https://graphacademy.neo4j.com/courses/llm-chatbot-python/
Neo4j graph construction from unstructured data
Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
Network Analysis through LLMs for Knowledge Extraction
Repository for the NaLLM project
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.