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Type: Organization
Type: Organization
A list of AI autonomous agents
A collection of research papers and software related to explainability in graph machine learning.
Apache Beam is a unified programming model for Batch and Streaming
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Given a set of rules and constraints, the program ranks worlds based on their ability to satisfy said rules and lets the user check various inferences and queries.
Materials for Phillips & Bloom, Do children believe immoral events are magical?
Topic Modeling in Embedding Spaces
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
GPT based autonomous agent that does online comprehensive research on any given topic
Library of python functions for the analysis of hypergraphs.
Software for "Configuration Models of Random Hypergraphs"
Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper ,a new neural network model has propose which called graph neural network (GNN)
Code accompanying SSDBM 2020 submission "A Versatile Hypergraph Model for Document Collections" by Spitz et al.
HyperGraph is an experimental computing framework that implements a polyhedral dynamics approach to the study of ontological assemblages and artificial intelligence.
This repository contains our experimental code of hypergraph PageRank implementation using Apache Spark.
Code repository for "Hypergraph Visualization via a Metric Space Viewpoint and Persistence"
Modularity and clustering for hyper-graphs with HyperNetX (HNX)
Python package for hypergraph analysis and visualization.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
GPT-based ontological extraction tools, including SPIRES
Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.
Python package of Tomoto, the Topic Modeling Tool
Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
A turn to geopolitics: how Russia’s war against Ukraine unsettles the German energy transition discourse (Data collection and analysis)
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.