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Name: DM
Type: User
Name: DM
Type: User
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
Deep Learning and applications in Startups, CV, Text Mining, NLP
Barebones repo to demonstrate usage of `daft-pgm`, a small package for drawing plate notation diagrams purely in Python.
Compute graph embeddings via Anonymous Walk Embeddings
A curated list of awesome embedding models tutorials, projects and communities.
A curated list of network embedding techniques.
An awesome list of high-quality open datasets in public domains (on-going).
A curated list of awesome READMEs
an open-source python toolbox to analyze mobile phone metadata
Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
Automated Scalable Bayesian Inference
A novel approach for synthesizing tabular data using pretrained large language models
Coresets for scalable robust pseudo-Bayesian inference
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
Bayesian Poisson tensor factorization
A Mallet fork with support for CA-LDA described in paper: Immersive Recommendation at WWW'2016
This is a presentation template with the colour scheme of the University of Cambridge
UC Berkeley M.Eng Capstone Program source code for Wearable Computing, Machine Learning and Alzheimer's Disease Project.
A library for benchmarking vulnerability to adversarial examples
Caffe definition files for the "Using Deep Learning to Predict Demographics from Mobile Phone Metadata" paper
C++ library for modeling with Pitman-Yor processes
Render some probabilistic graphical models using matplotlib
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Dataset Distillation
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Learning for Spatio-Temporal Data
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Exercises for the Deep Learning textbook at www.deeplearningbook.org
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.