while519 Goto Github PK
Name: Yu Wu
Type: User
Company: BIGAI
Bio: Data scientist on causal structure learning and pattern recognition.
Location: Beijing
Name: Yu Wu
Type: User
Company: BIGAI
Bio: Data scientist on causal structure learning and pattern recognition.
Location: Beijing
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
R package for Kutner et al. 5th ed. Applied Linear Statistical Models
Run docker container in sublime text
A data index for learning causality.
a few Poster templates with LaTeX
An exact Bayesian network structure learning software based on dynamic programming.
:cake:改改数据,为心爱的人做一个超具创意的网页生日祝福吧~ (生日快乐) https://ajlovechina.github.io/birthday/
A command-line interface (CLI) for running algorithm comparison tool on simulated data.
Causal Discovery from Nonstationary/Heterogeneous Data.
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Examine The Causal Structure of Data
machine learing; visualising heterougeneous relationships by representing them as edges between points in an euclidean space
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
A R package that allows users to submit parallel workloads in Azure
Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Must-read papers on graph neural networks (GNN)
Investigating the gradient vanish problems in neural networks and a thorough study for the its solutions
Grid studio is a web-based spreadsheet application with full integration of the Python programming language.
G Square Conditional Independence Test
Latent Dirichlet Allocation
Computation of Heterogeneous Object Co-embeddings from Relational Measurements
Citation Predictions in Document Networks
For learning to predict in citation networks
Official NetworkX source code repository.
DAGs with NO TEARS: Continuous Optimization for Structure Learning
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.