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Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
Projects that involve graph datasets
Platform for designing and evaluating Graph Neural Networks (GNN)
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
A GraphQL to Cypher query execution layer for Neo4j and JavaScript GraphQL implementations.
GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba
Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
The Hitchiker's Guide to PyTorch
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
A toolkit for developing and comparing reinforcement learning algorithms.
Python library for converting Python calculations into rendered latex.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...
A high performance implementation of HDBSCAN clustering.
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
HiPlot makes understanding high dimensional data easy
With Holoviews, your data visualizes itself.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines. Leading Data 2.0 http://activeloop.ai
Hue Editor: Open source SQL Query Assistant for Databases/Warehouses
Library that contains implementations of machine learning components in the hyperbolic space
AI-Generated Developer Portfolios
File organization made easy using tags
🖼️ Images for practicalAI lessons
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
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.