Discover osh/rf_helicopter Open Source project by Tim O'Shea (@osh)

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Language
Python
License
MIT License
Created over 8 years ago
Updated over 8 years ago

osh

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Using e-Greedy Q Learning, e-Greedy Q-Learning with e-decay, Deep Q-Network (DQN) to learn to navigate a Helicopter course

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A couple of simple GANs in Keras

Jupyter Notebook

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kerlym

KEras Reinforcement Learning gYM agents

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openlte

C++

gr-eventstream

gr-eventstream is a set of GNU Radio blocks for creating precisely timed events and either inserting them into, or extracting them from normal data-streams precisely. It allows for the definition of high speed time-synchronous c++ burst event handlers, as well as bridging to standard GNU Radio Async PDU messages with precise timing easily.

C++

gr-pyqt

pyqt based plotters intended for plotting bursted events in gnu radio

Python

gr-tf

GNU Radio TensorFlow Blocks Repository

CMake

gr-theano

Rapid GPU Accelerated Blocks for GNU Radio

CMake

gr-mediatools

ffmpeg / gnu radio integration

CMake

nnplot

python scripts for plotting various neural network architectures

Python

gr-uhdgps

CMake

gr-fsk-burst

A simple GNU Radio message based burst FSK Transmitter and Receiver

gr-pcap

CMake

gr-bitcoin

bitcoin tools for gnuradio

Python

dist_hyperas

a tool for distributing keras/hyperas model training tasks

Python

gr-benchmark

Python

gr-psk-burst

gr-latency

GNU Radio Latency Measurement Tools

Python

gr-eventsim

Benchmarking tools for gr-eventstream

CMake

gr-chunky

benchmarking blocks to compare tagged stream blocks to message passing / pdu blocks

Python

gr-pmtfile

Store samples and tags

Python

kml

gr-fec-test

osh/rf_helicopter

osh

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