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Getting started:

First steps
Load and save checkpoints
Distributed training
Scripts
Parseval

Contents:

Models
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- Coda Prompt Utils
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  - model
  - vit
- Deprecated
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  - joint
- Dualprompt Utils
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- L2p Utils
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- Slca Utils
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  - Convs
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    - cifar_resnet
    - linears
    - resnet
    - vits
  - inc_net
  - toolkit
- Twf Utils
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  - afd
  - utils
- Utils
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  - continual_model
  - lider_model
- agem
- agem_r
- bic
- ccic
- coda_prompt
- der
- derpp
- derpp_lider
- dualprompt
- er
- er_ace
- er_ace_lider
- ewc_on
- fdr
- gdumb
- gdumb_lider
- gem
- gss
- hal
- icarl
- icarl_lider
- joint_gcl
- l2p
- lucir
- lwf
- lwf_mc
- mer
- pnn
- rpc
- sgd
- si
- twf
- xder
- xder_ce
- xder_rpc
Datasets
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- Deprecated
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  - old_mnist_360
- Imagenet R Utils
- Transforms
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- Utils
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- mnist_360
- perm_mnist
- rot_mnist
- seq_cifar10
- seq_cifar100
- seq_cifar100_224
- seq_cifar100_224_rs
- seq_cub200
- seq_imagenet_r
- seq_mnist
- seq_tinyimagenet
- seq_tinyimagenet_r
Backbones
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- Utils
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  - modules
- EfficientNet
- MNISTMLP
- MNISTMLP_PNN
- ResNet18
- ResNet18_PNN
- ResNet50
Utils
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- args
- augmentations
- batch_norm
- best_args
- buffer
- checkpoints
- conditional_bn
- conf
- distributed
- gss_buffer
- kornia_utils
- loggers
- magic
- main
- metrics
- mixup
- prompt_templates
- ring_buffer
- schedulers
- simclrloss
- status
- training
- triplet

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Mammoth parseval#

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