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Releases: Lightning-Universe/lightning-bolts

align with PL 1.0

12 Oct 11:27
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0.2.5

Update __init__.py

Reinforcement learning

12 Oct 11:11
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[0.2.3] - 2020-10-12

Added

  • Enabled PyTorch Lightning 0.10 compatibility (#264)
  • Added dummy datasets (#266)
  • Added KittiDataModule (#248)
  • Added UNet (#247)
  • Added reinforcement learning models, losses and datamodules (#257)

pertained models

13 Sep 14:27
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[0.2.1] - 2020-09-13

Added

  • Added pretrained VAE with resnet encoders and decoders
  • Added pretrained AE with resnet encoders and decoders
  • Added CPC pretrained on CIFAR10 and STL10
  • Verified BYOL implementation

Changed

  • Dropped all dependencies except PyTorch Lightning and PyTorch
  • Decoupled datamodules from GAN (#206)
  • Modularize AE & VAE (#196)

Fixed

  • Fixed gym (#221)
  • Fix L1/L2 regularization (#216)
  • Fix max_depth recursion crash in AsynchronousLoader (#191)

Self Supervised Learning

23 Aug 13:01
0d15b48
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[0.1.1] - 2020-08-23

Added

  • Added Faster RCNN + Pscal VOC DataModule (#157)
  • Added a better lars scheduling LARSWrapper (#162)
  • Added CPC finetuner (#158)
  • Added BinaryMNISTDataModule (#153)
  • Added learning rate scheduler to BYOL (#148)
  • Added Cityscapes DataModule (#136)
  • Added learning rate scheduler LinearWarmupCosineAnnealingLR (#138)
  • Added BYOL (#144)
  • Added ConfusedLogitCallback (#118)
  • Added an asynchronous single GPU dataloader (#1521)

Fixed

  • Fixed simclr finetuner (#165)
  • Fixed STL10 finetuner (#164)
  • Fixed Image GPT (#108)
  • Fixed unused MNIST transforms in tran/val/test (#109)

Changed

  • Enhanced train batch function (#107)

Initial release

16 Jan 00:47
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Initial release Pre-release
Pre-release

[0.1.0] - 2020-07-02

Added

  • Added setup and repo structure
  • Added requirements
  • Added docs
  • Added Manifest
  • Added coverage
  • Added MNIST template
  • Added VAE template
  • Added GAN + AE + MNIST
  • Added Linear Regression
  • Added Moco2g
  • Added simclr
  • Added RL module
  • Added Loggers
  • Added Transforms
  • Added Tiny Datasets
  • Added regularization to linear + logistic models
  • Added Linear and Logistic Regression tests
  • Added Image GPT
  • Added Recommenders module

Changed

  • Device is no longer set in the DQN model init
  • Moved RL loss function to the losses module
  • Moved rl.common.experience to datamodules
  • train_batch function to VPG model to generate batch of data at each step (POC)
  • Experience source no longer gets initialized with a device, instead the device is passed at each step()
  • Refactored ExperienceSource classes to be handle multiple environments.

Removed

  • Removed N-Step DQN as the latest version of the DQN supports N-Step by setting the n_step arg to n
  • Deprecated common.experience

Fixed

  • Documentation
  • Doct tests
  • CI pipeline
  • Imports and pkg
  • CPC fixes