chonghe-jiang Goto Github PK
Name: Leo_JIANG
Type: User
Company: The Chinese University of Hong Kong
Bio: Optimization Theory & Stochastic Simulation
Location: Hong Kong
Blog: chonghe.site/
Name: Leo_JIANG
Type: User
Company: The Chinese University of Hong Kong
Bio: Optimization Theory & Stochastic Simulation
Location: Hong Kong
Blog: chonghe.site/
autoLiterature是一个基于Dropbox和Python的自动文献管理器。
Python code for bayesian optimization using Gaussian processes
A Python implementation of global optimization with gaussian processes.
10x faster matrix and vector operations.
Github Companion to DAC Publication
Distributed Implementation of a Multiclass Logistic Regression
This is a collection of papers and other resources related to fairness.
Generalized Damped Newton Method for solving Lasso
Python code implementing a stable ensemble-based graph partition algorithm (ecg) and 11 graph-aware measures (gam) for comparing graph partitions.
Probabilistic PCA for samples with heterogeneous quality
Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic gradient descent variants.
Serial, parallel and distributed implementation of Logistic Regression.
MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020.
[Tool] Low rank matrix recovery by minimizing matrix norm
The standard and parallel multiobjective EGO algorithms
A continuation of stochastic-modeling, examining Normalizing Flows and probability density approximation
Another paper management tool
some academic posters as references. May we have in-person poster session soon!
Robust Simulation Optimization Kriging
[OR 2011] Matlab code for Sequential Convex Approximations to Joint Chance Constrained Programs
A testbed of simulation-optimization problems and solvers
PyTorch implementation of SoftFlow
LaTeX Thesis Template for Tongji University
official repo for Trumpets: Injective Flows for Inference and Inverse Problems
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.