Top Repositories
A couple of simple GANs in Keras
KEras Reinforcement Learning gYM agents
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.
pyqt based plotters intended for plotting bursted events in gnu radio
GNU Radio TensorFlow Blocks Repository
Repositories
74No description provided.
Rapid GPU Accelerated Blocks for GNU Radio
text based ncurses interface to recent arxiv papers and so forth
KEras Reinforcement Learning gYM agents
Using e-Greedy Q Learning, e-Greedy Q-Learning with e-decay, Deep Q-Network (DQN) to learn to navigate a Helicopter course
A couple of simple GANs in Keras
No description provided.
a simple python tool for meremaid diagram generation to vector and pixel formats
api for gnuradio fec implementations
bitcoin tools for gnuradio
An OpenEmbedded layer for people working on Software Defined Radio
Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
Computation using data flow graphs for scalable machine learning
Offline radio signal analyser
A simple GNU Radio message based burst FSK Transmitter and Receiver
No description provided.
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.
GNU Radio TensorFlow Blocks Repository
Kalman Filter, Smoother, and EM Algorithm for Python
ffmpeg / gnu radio integration
Packaging scripts for nvidia-graphics-drivers in Ubuntu
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.
This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.
GNU Radio
digital signal processing library for software-defined radios
No description provided.
pyqt based plotters intended for plotting bursted events in gnu radio
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
python scripts for plotting various neural network architectures
A tool for editing GNU Radio out-of-tree modules