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The code for Decentralized Optimization including NIDS (network independent stepsize)
Experiments code for asynchronous parallel coordinate update algorithms (ARock)
Code Repository for ICML 2020 accepted paper, named "A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton"
Data of the numerical experiments of the paper "On Convex Lower-Level Black-Box Constraints in Bilevel Optimization with an Application to Gas Market Models with Chance Constraints" by Holger Heitsch, René Henrion, Thomas Kleinert, and Martin Schmidt
LaTeX-based Template for thesis of Beijing University of Technology(BJUT)
Bi-level Optimization for Advanced Deep Learning
Bilevel optimization library of test problems
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
Code for the article "Deep Forward-Backward Optimization Methods with Provable Convergence"
Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.
Matlab code for all variants of robust PCA and SPCP
Generic and efficient MATLAB solver for nonsmooth optimization problems
Experiments with HOM
This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"
Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond"
Inexact Derivative-Free Optimization for Bilevel Learning
This repository provide a realization of iP_DCA in Python with a simple test demo and a code for reproduce the numerical result of experiments
Bilevel Optimization Approaches for Tuning Parameter Selection in LASSO and its variants
Source code for paper "Local Convergence Properties of SAGA/Prox-SVRG and Acceleration"
Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
Forward-Backward Splitting (FBS) Algorithms for Non-convex Total Variation Denoising
Jupyter Notebooks for the M1 MSIAM Course "Numerical Optimization" at Université Grenoble Alpes
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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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.
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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
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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.