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Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Pyro is an algorithm to detect approximate keys and functional dependencies in relational datasets.
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
Source code and datasets of "RapidMatch: A Holistic Approach to Subgraph Query Processing", accepted by VLDB'21 - By Shixuan Sun, Xibo Sun, Yulin Che, Prof. Qiong Luo, and Prof. Bingsheng He
RAPPOR: Privacy-Preserving Reporting Algorithms
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Official Implementation of "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
Entity linking of a JSON lines collection
This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows to replicate the results in our work "Knowledge Graph Embeddings for Link Prediction: A Comparative Analysis" (https://arxiv.org/abs/2002.00819). Principal contributor: ANDREA ROSSI (https://github.com/AndRossi)
Semi-Amortized Variational Autoencoders
Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"
sIND Discovery
Succinct Data Structure Library 2.0
Multilingual Sentence & Image Embeddings with BERT
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
A python tool for evaluating the quality of sentence embeddings.
SGL PyTorch version
Hybrid algorithm based on SEDC and SHAP for computing Evidence Counterfactuals (SHAP-Counterfactual): explaining the model predictions of any classifier using a minimal set of features, such that removing these features results in a predicted class change.
sentence embedding by Smooth Inverse Frequency weighting scheme
A Benchmark for Learned Indexes
SparkER: an Entity Resolution framework for Apache Spark
StellarGraph - Machine Learning on Graphs
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.