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Getting started

First steps
Training, Validation, and Testing
Load and save checkpoints
Fast training & optimizations
Scripts
Backbones and Datasets registration
Reproducibility

Contents

Models
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Datasets
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- How to create a new dataset
- Custom schedulers
Backbone
Utils

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Code reference

models
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- Coda Prompt Utils
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  - model
  - vit
- Deprecated
- Dualprompt Utils
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- L2p Utils
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- Moe Adapters Utils
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  - adapter
  - clip
  - model
  - tokenizer
- Ranpac Utils
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  - inc_net
  - ranpac
  - toolkit
  - vit
- Slca Utils
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  - convs
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    - cifar_resnet
    - linears
  - base
  - inc_net
  - slca
  - toolkit
- Twf Utils
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  - afd
  - utils
- Utils
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- agem
- agem_r
- attriclip
- bic
- ccic
- cgil
- clip
- coda_prompt
- dap
- der
- derpp
- derpp_lider
- dualprompt
- er
- er_ace
- er_ace_aer_abs
- er_ace_lider
- er_ace_tricks
- er_tricks
- ewc_on
- fdr
- first_stage_starprompt
- gdumb
- gdumb_lider
- gem
- gss
- hal
- icarl
- icarl_lider
- idefics
- joint
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- l2p
- llava
- lucir
- lwf
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- lws
- mer
- moe_adapters
- pnn
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- ranpac
- rpc
- second_stage_starprompt
- sgd
- si
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- starprompt
- twf
- xder
- xder_ce
- xder_rpc
datasets
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- Bias Celeba Utils
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  - celeba
- 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_cars196
- seq_celeba
- seq_chestx
- seq_cifar10
- seq_cifar100
- seq_cifar100_224
- seq_cifar100_224_rs
- seq_cifar10_224
- seq_cifar10_224_rs
- seq_cropdisease
- seq_cub200
- seq_cub200_rs
- seq_eurosat_rgb
- seq_imagenet_r
- seq_isic
- seq_mit67
- seq_mnist
- seq_resisc45
- seq_tinyimagenet
- seq_tinyimagenet_r
backbone
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- Utils
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- EfficientNet
- MNISTMLP
- MNISTMLP_PNN
- ResNet18_PNN
- ResNet32
- ResNetBlock
- ResNetBottleneck
- vit
utils
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- args
- augmentations
- autoaugment
- batch_norm
- best_args
- bias
- buffer
- buffer_lws
- checkpoints
- conditional_bn
- conf
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- gss_buffer
- kornia_utils
- loggers
- magic
- main
- metrics
- mixup
- prompt_templates
- ring_buffer
- schedulers
- simclrloss
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- stats
- status
- training
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bias celeba utils#

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