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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"
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
StellarGraph - Machine Learning on Graphs
In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo
survival causal tree
Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming
Code for the paper "Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties"
TextHide: Tackling Data Privacy in Language Understanding Tasks
TextRank implementation for Python 3.
Theano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."
TensorFlow implementations of Graph Neural Networks
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
The code for our Updates-Leak paper
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022
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.