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Name: Xinjian_Huang
Type: User
Name: Xinjian_Huang
Type: User
Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''
Second-Order Convergence of Alternating Minimizations
MATLAB implementation of AManPG
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Adaptive Regularized Newton Method for Riemannian Optimization
A curated list of awesome computer vision resources
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Matlab frameworks, libraries and software.
Awesome list for Neural Network Optimization methods.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Collection of Blind Image Quality Metrics in Matlab
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
A Python implementation of user based and item based collaborative filtering for matrix completion
Course projects of CS395T Numerical Optimization, UT Austin
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
数据科学的笔记以及资料搜集
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
A collection of various deep learning architectures, models, and tips
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
The basic distribution probability Tutorial for Deep Learning Researchers
本项目将《动手学深度学习》原书中的MXNet代码实现改为PyTorch实现。
Data Science and Matrix Optimization course
Code for the ICML 2019 paper "Estimate Sequences for Variance-Reduced Stochastic Composite Optimization"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
MATLAB code for solving the Euclidean Distance Matrix completion problem.
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.