ritaxiaotian Goto Github PK
Name: Rita Tian
Type: User
Company: University of Texas at Austin
Bio: Let's Find Stories in Data!
Name: Rita Tian
Type: User
Company: University of Texas at Austin
Bio: Let's Find Stories in Data!
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
Self Jorney in Algorithm Practice
A collection of important graph embedding, classification and representation learning papers with implementations.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
AWS and pyspark application
技术资料分享
A collection of common regular expressions bundled with an easy to use interface.
Starter files, final projects and FAQ for my Complete JavaScript course
Quiz & Assignment of Coursera
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
A MNIST-like fashion product database. Benchmark :point_right:
test of pretrain CNN models
Implementation code of algorithm described in FlowScope: Spotting Money Laundering Based on Graphs. and thanks for the contribution of the coworkers , i.e. , Shenghua Liu and ZiFeng Li.
Data Science Resources (Mostly Free)
Must-read papers on graph neural networks (GNN)
links to conference publications in graph-based deep learning
Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
Implementation and experiments of graph embedding algorithms.
Representation learning on large graphs using stochastic graph convolutions.
Tutorials and training material for the H2O Machine Learning Platform
An introduction to Statistical Learning
Build a Jekyll blog in minutes, without touching the command line.
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
Clean, Understandable Solutions and Resources for LeetCode Online Judge Algorithm Problems.
This repository is to prepare for Machine Learning interviews.
Machine Learning Courses
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.