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Course Project for EE602: Statistical Signal Processing
PyTorch implementation of Target Classification Using the Deep Convolutional Networks for SAR Images
This project uses the speaker and the microphone of the computer to realize a complete acoustic OFDM communication system in the MATLAB environment. The system includes phase estimation, channel equalization, bits encoding and cyclic prefix. The main script transmits an example image and shows the received one. Some plots are automatically generated to evaluate the system performances.
Repository for "Fitting a Kalman Smoother to Data"
SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Implementation of visualization techniques for CNN in Caffe (t-sne, DeconvNet, Image occlusions)
one kind implement of Cramer-Rao Lower Bound
All notes and materials for the CS229: Machine Learning course by Stanford University
Cluster Validity Index Using a Distance-based Separability Measure
Data Complexity Measures
The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
fusion algorithm(kf) with only ranging(UWB) and 6-axis imu sensor
a simple code using tensorflow to fit high dimensional function
An Extended Kalman Filter used for estimation and localization, including outlier detection mode and track simulation.
Reimplementation of Graph Embedding methods by Pytorch.
Python package for graph-based clustering and semi-supervised learning
An infra-red search and track (IRST) system for small target detection in infrared images.
C++ library to implement invariant extended Kalman filtering for aided inertial navigation.
Code & Experiments associated to the Artificial Intelligence Journal paper
Parameter estimation routines for logistic Item Characteristic Curves (ICC) from Item Response Theory (IRT)
A Python implementation of the KGD optimization algorithm and accompanying experiments.
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
A PyTorch Library for Multi-Task Learning
Matlab implementation of the large margin nearest neighbor algorithm
Logistic regression from scratch in Python
Simulates an entire Transmission, Channel and Receiver chain for LTE OFDM system in Matlab
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.