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Simulation in MATLAB of Digital Communication modulations (BPSK,QPSK,16 QAM) to find the performance and probability of error in Rayleigh and Rician fading environments
Simulation of the Ambiguity function on a simple pulse and an LFM chirp
The most cited deep learning papers
:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
Caffe: a fast open framework for deep learning.
吴恩达老师的机器学习课程个人笔记
Open RadioML Synthetic Benchmark Dataset
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning Book Chinese Translation
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Practice of two Pattern Recognition methods. Face Recognition based on SVM and SRC.
This matlab code analyzes four different channels (1)AWGN (2)Rayleigh (3)Rician(4)Natagami BER under the different SNR by QPSK modulation. After run this code, dynamic constellation diagram variation under different SNR will show in your screen. [信道(高斯信道,莱斯信道,瑞利信道,natagami信道)建模]
The use of USRP radio, GNU radios, and Software Defined Radios to transmit and collect raw IQ (In-phase and Quadrature) data of the BPSK, QPSK, 8PSK, 16QAM, and 32QAM modulation schemes prior to developing the Machine learning and Neural Network classification models. The data collection task was conducted at San Jose State University Communications Lab, and can be used by people looking to work on RF and Machine Learning projects.
Just for fun
Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)
Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
Keras implementation of InceptionV4 Paper
Deep Learning for humans
Reference implementations of popular deep learning models.
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
Minimal working example of how to train a Keras model on data that does not fit into memory with a Keras Sequence object.
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
请用 Matlab 完成如下通信链路基带性能仿真代码:卷积码(2, 1, 3)生成多项式为(15,17)8调制方式 BPSK; ③信道 AWGN;④理想同步;⑤译码方法 Viterbi 算法;
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.