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This project provides the bash for datasets used in "Privacy-aware Text Rewriting" (INLG19).
WORKLOAD AWARE MATERIALIZATION IN JUNCTION TREE INFERENCE
Probabilistic Machine Learning: Advanced Topics
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
How Powerful are Graph Neural Networks?
Oxford Deep NLP 2017 course - Practical 1: word2vec
Oxford Deep NLP 2017 course - Practical 2: Text Classification
Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
Oxford Deep NLP 2017 course - Open practical
Privacy-Preserving Graph Convolutional Networks for Text Classification
Code for Private Nearest Neighbors Classification
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
FDX, SIGMOD 2020
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction
PyTorch implementation of Contrastive Learning methods
PyGCL: A PyTorch Library for Graph Contrastive Learning
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.
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
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.
Entity linking of a JSON lines collection
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.