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an-improved-lstm-model-for--behavior-recognition-of-intelligent-vehicles

An Improved LSTM Model for Behavior Recognition of Intelligent Vehicles.A total of four experiments have done,including vehivle behavior recognition experiment based on vehicle behavior data set from Udacity,handwritten digit recognition experiment based on handwritten number,emotion classification based on movie reviewm and next trajectory point regression fitting experiment based on NGSIM data set.

complex-cnn-seismic

complex_convolutions

2020 IEEE ICC: Open Workshop On Machine Learning In Communications.

crts

cvxpy

A Python-embedded modeling language for convex optimization problems.

deep_complex_networks

Implementation related to the Deep Complex Networks

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

dl-massive-mimo

DL tackling Massive-MIMO problems

doa-estimation-music-esprit

Direction of Arrival Estimation using MUSIC and ESPRIT Algorithms in Python

doamusic

Python/C implementation of MUltiple SIgnal Classification as described by Schmidt.

dockerrml

Docker images set up with tools for radio & machine learning tasks

end2end_gan

Conditional GAN based End-to-End Communication System

fuel

A data pipeline framework for machine learning

gnuradio

GNU Radio

gnuradio-old

forked from gnuradio

gr-cdma

a cdma physical layer for Gnuradio

gr-foo

Some GNU Radio blocks that I use.

gr-ieee802-15-4

An IEEE 802.15.4 ZigBee Transceiver.

gr-pwf

Polite water filling algorithm for MIMO B-MAC network

gr-specest

A module adding spectral estimation routines to GNU Radio.

gr-zigbee

zigbee blocks and examples

hybridprecodingmassivemimo

Low-complexity hybrid precoding in massive mulituser MIMO systems, IEEE Wireless Communications Letters

keras-io

Keras documentation, hosted live at keras.io

keras-lstm-trajectory-prediction

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

learn-compresscsi-ra-v2x-code

Code for Learn to Compress CSI and Allocate Resources in Vehicular Networks

lstm_networks

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

marlspectrumsharingv2x

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

mimir

JSON-based logging framework