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pytorch's Introduction

myTorch

A pyTorch research framework for Memory Augmented Neural Networks and Reinforcement Learning.

Major directories

  • myTorch/utils - contains basic experiment manager, tensorboard logger, and util functions.
  • myTorch/memory - contains memory cells like LSTM, GRU.
  • myTorch/rllib - contains standard implementations of RL agents.
  • myTorch/environment - contains several environments that can be linked to the RL agents.
  • myTorch/task - contains data iterators for tasks used in the projects.
  • myTorch/projects - contains projects based on myTorch.

Setup

  • run pip install -r requirements.txt
  • set an environment variable called 'MYTORCH_SAVEDIR' to a folder where you want the output logs and model checkpoints to be saved.
  • set an environment variable called 'MYTORCH_DATA' to a folder where you want to keep all your data.

pytorch's People

Contributors

chinnadhurai avatar apsarath avatar shagunsodhani avatar mptouzel avatar

Watchers

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