Index

_

__version__ (in module fundaml)

_compute_loss() (fundaml.trainers.NNTrainer method) _report_scores() (fundaml.trainers.NNTrainer method)

A

AbstractNN (class in fundaml.models)

attention (fundaml.transformer_from_scratch.DecoderBlock attribute)

D

decode() (fundaml.tokenizers.HFTokenizer method) Decoder (class in fundaml.transformer_from_scratch)

DecoderBlock (class in fundaml.transformer_from_scratch) dropout (fundaml.transformer_from_scratch.DecoderBlock attribute) (fundaml.transformer_from_scratch.TransformerBlock attribute)

E

encode() (fundaml.tokenizers.HFTokenizer method)

Encoder (class in fundaml.transformer_from_scratch)

F

feed_forward (fundaml.transformer_from_scratch.TransformerBlock attribute) forward() (fundaml.models.SampleCNN method) (fundaml.models.SampleNNClassifier method) (fundaml.models.SampleRNN method) (fundaml.transformer_from_scratch.Decoder method) (fundaml.transformer_from_scratch.DecoderBlock method) (fundaml.transformer_from_scratch.Encoder method) (fundaml.transformer_from_scratch.MultiHeadSelfAttentionBlock method) (fundaml.transformer_from_scratch.Transformer method) (fundaml.transformer_from_scratch.TransformerBlock method) fundaml module

fundaml.eda module fundaml.models module fundaml.scores module fundaml.tokenizers module fundaml.trainers module fundaml.transformer_from_scratch module

G

get_available_devices() (in module fundaml.trainers)

get_device() (in module fundaml.transformer_from_scratch) get_vocab_size() (fundaml.tokenizers.HFTokenizer method)

H

HFTokenizer (class in fundaml.tokenizers)

M

make_src_mask() (fundaml.transformer_from_scratch.Transformer static method) make_trg_mask() (fundaml.transformer_from_scratch.Transformer static method) module fundaml fundaml.eda fundaml.models fundaml.scores fundaml.tokenizers fundaml.trainers fundaml.transformer_from_scratch

MultiHeadSelfAttentionBlock (class in fundaml.transformer_from_scratch)

N

NNTrainer (class in fundaml.trainers) norm (fundaml.transformer_from_scratch.DecoderBlock attribute)

norm1 (fundaml.transformer_from_scratch.TransformerBlock attribute) norm2 (fundaml.transformer_from_scratch.TransformerBlock attribute)

P

print_basic_eda() (in module fundaml.eda)

S

SampleCNN (class in fundaml.models) SampleNNClassifier (class in fundaml.models) SampleRNN (class in fundaml.models) score_accuracy() (in module fundaml.scores)

score_mape() (in module fundaml.scores) self_attention (fundaml.transformer_from_scratch.TransformerBlock attribute) sinusoidal_positional_encoding() (in module fundaml.transformer_from_scratch) SUPPORTED_DEVICES (fundaml.trainers.NNTrainer attribute)

T

test_loop() (fundaml.trainers.NNTrainer method) train_loop() (fundaml.trainers.NNTrainer method) train_test_loop() (fundaml.trainers.NNTrainer method)

Transformer (class in fundaml.transformer_from_scratch) transformer_block (fundaml.transformer_from_scratch.DecoderBlock attribute) TransformerBlock (class in fundaml.transformer_from_scratch)

W

with_device() (fundaml.trainers.NNTrainer method) with_loss_function() (fundaml.trainers.NNTrainer method) with_model() (fundaml.trainers.NNTrainer method)

with_optimizer() (fundaml.trainers.NNTrainer method) with_scoring_functions() (fundaml.trainers.NNTrainer method) with_verbose_level() (fundaml.trainers.NNTrainer method)