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16-qam-qpsk-bpsk

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

ambiguity_function

Simulation of the Ambiguity function on a simple pulse and an LFM chirp

ambiguityfunction

awesome-deep-learning-papers

The most cited deep learning papers

bank_interview

: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

Caffe: a fast open framework for deep learning.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

dataset

Open RadioML Synthetic Benchmark Dataset

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

face-recognition_svm_src

Practice of two Pattern Recognition methods. Face Recognition based on SVM and SRC.

four-channel-analysis-matlab

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]

gnu-generated-i-q-data-of-digital-modulation-techniques-using-matlab

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.

hello-world

Just for fun

imageretrieval

Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)

inception-v4

Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras

inceptionv4

Keras implementation of InceptionV4 Paper

keras

Deep Learning for humans

keras-applications

Reference implementations of popular deep learning models.

keras-cifar-10-senet

keras-inceptionv4

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

keras-sequence-boilerplate

Minimal working example of how to train a Keras model on data that does not fit into memory with a Keras Sequence object.

keras-transfer-learning-for-oxford102

Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

lstm-cnn_classification

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

matlab-viterbi-

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；