susierao Goto Github PK
Type: User
Type: User
Various examples to perform big data analytics over Microsoft Academic Graph and visualize the results.
A curated list of community detection research papers with implementations.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of network embedding techniques.
Exercises for the Big Data lecture at ETH Zurich (Fall 2021)
Box Embeddings as Modules
brat rapid annotation tool (brat) - for all your textual annotation needs
A Benchmark for Joint Data Cleaning and Machine Learning
:id: A python library for accurate and scaleable fuzzy matching, record deduplication and entity-resolution.
Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Factorial Hidden Markov Models (FHMM) implemented for discrete observation values (like words)
LaTeX template for a PhD thesis at ETH Zurich
Folder / directory structure options and naming conventions for software projects
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Get the coordinates (longitude and latitude) based on the zip code
GloVe model for distributed word representation
Must-read papers on graph neural networks (GNN)
Representation learning on large graphs using stochastic graph convolutions.
HDLTex: Hierarchical Deep Learning for Text Classification
Distributed training framework for TensorFlow, Keras, and PyTorch.
Infinite Relational Model
Infinite relational model (IRM) for datamicroscopes
Label Informed Attributed Network Embedding, WSDM 2017
Example code from Learning Spark book
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
Max-margin DeepWalk
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.