Tim O'Shea

KerasGAN. A couple of simple GANs in Keras

kerlym. KEras Reinforcement Learning gYM agents

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.

gr-pyqt. pyqt based plotters intended for plotting bursted events in gnu radio

gr-theano. Rapid GPU Accelerated Blocks for GNU Radio

gr-tf. GNU Radio TensorFlow Blocks Repository

gr-mediatools. ffmpeg / gnu radio integration

gr-fsk-burst. A simple GNU Radio message based burst FSK Transmitter and Receiver

nnplot. python scripts for plotting various neural network architectures

gr-pcap. CMake

gr-uhdgps. CMake

gr-bitcoin. bitcoin tools for gnuradio

gr-benchmark. Python

dist_hyperas. a tool for distributing keras/hyperas model training tasks

gnuradio.old. gnuradio

gr-psk-burst.

gr-gps. GPS receiver for gnuradio

gr-latency. GNU Radio Latency Measurement Tools

gnuradio. GNU Radio

system-bus-radio. This program transmits radio on computers without radio transmitting hardware.

cae. Collection of Convolutional Auto-encoders based on Theano

hackrf. low cost software radio platform

gr-ieee802-11. Python

gr-recipes. Main GNU Radio recipe repository for use with PyBOMBS

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

inspectrum. Offline radio signal analyser

deepmat. Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

gr-pmtfile. Store samples and tags

DeepLearnToolbox. Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

liquid-dsp. digital signal processing library for software-defined radios

measurement_toolbox. GNU Radio measurement toolbox

pybombs. PyBOMBS (Python Build Overlay Managed Bundle System) is the new GNU Radio install management system for resolving dependencies and pulling in out-of-tree projects. One of the main purposes of PyBOMBS is to aggregate out-of-tree projects, which means that PyBOMBS needs to have new recipes for any new project. We have done a lot of the initial work to get known projects into the PyBOMBS system as is, but we will need project developers for new OOT projects or other projects not currently listed to help us out with this effort.

gr-eventsim. Benchmarking tools for gr-eventstream

grcompat. Compatability layer for various gnuradio APIs and libraries

gr-chunky. benchmarking blocks to compare tagged stream blocks to message passing / pdu blocks

dqn. This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.

pylearn2. A Machine Learning library based on Theano

PyAV. Pythonic bindings for FFmpeg.

keras. Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

gr-etcetera. Additional PyBOMBS recipes that aren't in gr-recipes

gr-fec-test.

pykalman. Kalman Filter, Smoother, and EM Algorithm for Python

tensorflow. Computation using data flow graphs for scalable machine learning

meta-sdr. An OpenEmbedded layer for people working on Software Defined Radio