Pinned Repositories
AnomaliesDetection-with-TimeSeriesAnalysis
This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.
autoencoder
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
deeplearning.ai_JupyterNotebooks
DeepLearning.ai课程学习Jupyter Notebook作业
docs
TensorFlow documentation
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
MIMO-OFDM-Wireless-Communications-with-MATLAB
MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
LiuMingXingStar's Repositories
LiuMingXingStar/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
LiuMingXingStar/autoencoder
LiuMingXingStar/MIMO-OFDM-Wireless-Communications-with-MATLAB
MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现
LiuMingXingStar/AnomaliesDetection-with-TimeSeriesAnalysis
This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.
LiuMingXingStar/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
LiuMingXingStar/ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
LiuMingXingStar/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
LiuMingXingStar/deeplearning.ai_JupyterNotebooks
DeepLearning.ai课程学习Jupyter Notebook作业
LiuMingXingStar/docs
TensorFlow documentation
LiuMingXingStar/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
LiuMingXingStar/book
:books: All programming languages books
LiuMingXingStar/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'.
LiuMingXingStar/hello-word
Just another repository
LiuMingXingStar/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.
LiuMingXingStar/keras
Deep Learning for humans
LiuMingXingStar/models
Models and examples built with TensorFlow
LiuMingXingStar/OFDM
Orthogonal Frequency Division Multiplexing pipeline
LiuMingXingStar/OFDM_DNN
LiuMingXingStar/SRCNN-Tensorflow
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
LiuMingXingStar/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
LiuMingXingStar/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
LiuMingXingStar/tensorflow_stacked_denoising_autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow