Pinned Repositories
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-fsk-burst
A simple GNU Radio message based burst FSK Transmitter and Receiver
gr-mediatools
ffmpeg / gnu radio integration
gr-pyqt
pyqt based plotters intended for plotting bursted events in gnu radio
gr-tf
GNU Radio TensorFlow Blocks Repository
gr-theano
Rapid GPU Accelerated Blocks for GNU Radio
KerasGAN
A couple of simple GANs in Keras
kerlym
KEras Reinforcement Learning gYM agents
nnplot
python scripts for plotting various neural network architectures
openlte
osh's Repositories
osh/KerasGAN
A couple of simple GANs in Keras
osh/kerlym
KEras Reinforcement Learning gYM agents
osh/openlte
osh/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.
osh/gr-pyqt
pyqt based plotters intended for plotting bursted events in gnu radio
osh/gr-tf
GNU Radio TensorFlow Blocks Repository
osh/gr-theano
Rapid GPU Accelerated Blocks for GNU Radio
osh/gr-mediatools
ffmpeg / gnu radio integration
osh/nnplot
python scripts for plotting various neural network architectures
osh/gr-pcap
osh/dist_hyperas
a tool for distributing keras/hyperas model training tasks
osh/gr-benchmark
osh/gnuradio
GNU Radio
osh/gr-recipes
Main GNU Radio recipe repository for use with PyBOMBS
osh/liquid-dsp
digital signal processing library for software-defined radios
osh/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.
osh/dqn
This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.
osh/gr-etcetera
Additional PyBOMBS recipes that aren't in gr-recipes
osh/inspectrum
Offline radio signal analyser
osh/keras
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
osh/pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
osh/async-rl
Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
osh/async-rl-1
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
osh/CppSPMD_Fast
Optimized CppSPMD test project: macro control flow, SSE4.1/AVX1/AVX2/AVX2 FMA support
osh/grcon2016
conference template
osh/libtaxii
A Python library for handling TAXII Messages invoking TAXII Services.
osh/pgm_examples
dumping ground for random pgm example code
osh/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
osh/soltra_edge_tools
tools for muddling soltra edge datas
osh/tensorflow
Computation using data flow graphs for scalable machine learning