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learning-from-human-preferences
Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"javascript-karplus-strong
JavaScript/Web Audio implementation of Karplus-Strong guitar synthesiseasy-tf-log
Easy TensorFlow logging for quick prototypesdistributed_tensorflow_gentle_introduction
Jupyter notebook running through basic examples of Distributed TensorFlowultra_ping
Measure UDP packet latencytbplot
Plot TensorBoard graphs fasttensorflow-rl-pong
Pong AI trained using policy gradient-based reinforcement learningmusical-pattern-recognition-in-spiking-neural-networks
Differentiate notes using a spiking neural networksanger-machine-learning-workshop
Code for machine learning workshop given to Sanger Systems grouphumble-gumbel
Jupyter notebook on Gumbel-max and Gumbel-softmax tricksgym-moving-dot
A simple moving dot environment for OpenAI Gym to test reinforcement learning algorithmstensorflow-pos-tagger
Part-of-speech tagger implemented using a feedforward network in TensorFlowmpi-vagrant
Bring up a cluster of VMs in Vagrant suitable for testing MPIdotfiles
tf-sac
TensorFlow implementation of Soft Actor-Critictensorboard_screenshot
Automatically take a screenshot of TensorBoard graphs using Headless Chrometensor-typing-exploration
Examples of code and stubs where tensor shape typing would be usefulsqs-alerts
Pop up macOS alerts from an AWS Simple Queue Servicetmuxprocess
Redirect I/O from Python processes to different tmux windowsdocker-cfengine-servers
Git hooks for spawning CFEngine policy serverstf-resnet
TensorFlow/Keras ResNet on CIFAR-10tf-dqn
TensorFlow implementation of Deep Q-learningrightermove
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