Pinned Repositories
1806
18.06 course at MIT
A-Divide-and-Conquer-Strategy-for-High-Dimensional-Bayesian-Factor-Models
We propose a distributed computing framework, based on a divide and conquer strategy and hierarchical modeling, to accelerate posterior inference for high-dimensional factor models. Our approach distributes the task of high-dimensional covariance matrix estimation to multiple cores, solves each subproblem separately via a latent factor model, and then combines these estimates to produce a globale estimate of the covariance matrix. The MATLAB code is available for public use. The paper is available at https://arxiv.org/pdf/1612.02875.pdf.
Achieving-CRLB-in-Sensor-Network-Estimation
Course Project for EE602: Statistical Signal Processing
adversarial-attack
Code of "adversarial attack ? no panic!"
Adversarial-Attack-Algorithms
Adversarial-examples
codes-for-IJDSN
Matlab codes for paper entitled "Distributed Hybrid Consensus-Based Square-Root Cubature Quadrature Information Filter and Its Application to Maneuvering Target Tracking"
Projects-in-Statistical-Signal-Processing
Advanced Signal Processing 2018 Coursework
robust-kalman
Robust Kalman filter with adaptive noise statistics estimation.
swarmlab
SmarmLab: a versatile Matlab package for drone swarm simulation.
yelangjobs's Repositories
yelangjobs/codes-for-IJDSN
Matlab codes for paper entitled "Distributed Hybrid Consensus-Based Square-Root Cubature Quadrature Information Filter and Its Application to Maneuvering Target Tracking"
yelangjobs/swarmlab
SmarmLab: a versatile Matlab package for drone swarm simulation.
yelangjobs/1806
18.06 course at MIT
yelangjobs/Adversarial-Attack-Algorithms
yelangjobs/Adversarial-examples
yelangjobs/algo
数据结构和算法必知必会的50个代码实现
yelangjobs/benchmark_results
Visual Tracking Paper List
yelangjobs/Consensus
Implements consensus algorithms on fixed and time varying graphs
yelangjobs/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
yelangjobs/exercise
exercise for nndl
yelangjobs/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
yelangjobs/graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
yelangjobs/jpdaf_matlab
yelangjobs/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
yelangjobs/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
yelangjobs/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
yelangjobs/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
yelangjobs/MIT-Linear-Algebra-Notes
Notes for MIT-Linear-Algebra
yelangjobs/ML-Weekly-Learning
一群 ML 自学者的日常
yelangjobs/Mobile-robot-flocking-with-Obstacle-avoidance
yelangjobs/NN_Test
This project contains some neural network code
yelangjobs/nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
yelangjobs/OSINT-Framework
OSINT Framework
yelangjobs/PRML
PRML algorithms implemented in Python
yelangjobs/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
yelangjobs/pwc
Papers with code. Sorted by stars. Updated weekly.
yelangjobs/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
yelangjobs/PyTorchDocs
PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！
yelangjobs/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
yelangjobs/VITutorial
This repository stores slides for a tutorial on variational inference for NLP audiences.