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Simulating Social Network Diffusion Process IC and LT on a Graph and choosing a set of initial seeds for maximum information Spreading
A general method to denoise weighted biological networks
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Paper List For Linking ODE and Deep Learning
The code of Multilayer nonlinear dynamical network reconstruction from streaming data
[NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong Chen*, Shupeng Gui, Ting-Kuei Hu, Ji Liu, and Zhangyang Wang
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Online Discovery of evolving systems
This is all the codes used in "Large Scale Online Kernel Learning"
The Source Code of Online-NR
Implementation of the Online ARIMA algorithm to predict real-time Bitcoin values
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Implementation of "Overlapping Community Detection with Graph Neural Networks"
A list of papers for physiological signal classification using machine learning/deep learning.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Code for "Reconstruction of plant--pollinator networks from observational data"
Evolutionary multi-objective optimization platform
A machine learning-based model for survival prediction in COVID patients
PRML algorithms implemented in Python
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
Matlab code of machine learning algorithms in book PRML
Must-read papers on prompt-based tuning for pre-trained language models.
Sample implementations of proximal operators
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.