mrahtz/distributed_tensorflow_gentle_introduction

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Jupyter Notebook
Created almost 7 years ago
Updated about 3 years ago

mrahtz/distributed_tensorflow_gentle_introduction

mrahtz

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Jupyter notebook running through basic examples of Distributed TensorFlow

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 synthesis

easy-tf-log

Easy TensorFlow logging for quick prototypes

ultra_ping

Measure UDP packet latency

tbplot

Plot TensorBoard graphs fast

tensorflow-rl-pong

Pong AI trained using policy gradient-based reinforcement learning

musical-pattern-recognition-in-spiking-neural-networks

Differentiate notes using a spiking neural network

sanger-machine-learning-workshop

Code for machine learning workshop given to Sanger Systems group

humble-gumbel

Jupyter notebook on Gumbel-max and Gumbel-softmax tricks

Jupyter Notebook

ocd-a3c

TensorFlow implementation of asynchronous advantage actor-critic (A3C)

gym-moving-dot

A simple moving dot environment for OpenAI Gym to test reinforcement learning algorithms

tensorflow-pos-tagger

Part-of-speech tagger implemented using a feedforward network in TensorFlow

mpi-vagrant

Bring up a cluster of VMs in Vagrant suitable for testing MPI

dotfiles

tf-sac

TensorFlow implementation of Soft Actor-Critic

tensorboard_screenshot

Automatically take a screenshot of TensorBoard graphs using Headless Chrome

tensor-typing-exploration

Examples of code and stubs where tensor shape typing would be useful

sqs-alerts

Pop up macOS alerts from an AWS Simple Queue Service

tmuxprocess

Redirect I/O from Python processes to different tmux windows

docker-cfengine-servers

Git hooks for spawning CFEngine policy servers

tf-resnet

TensorFlow/Keras ResNet on CIFAR-10

tf-dqn

TensorFlow implementation of Deep Q-learning

rightermove