fundaml
Example usage
Transformer from scratch
All together now “Transformer”
Changelog
Contributing
Code of Conduct
API Reference
fundaml
Index
Index
_
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A
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D
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E
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F
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G
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H
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M
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N
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P
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S
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T
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W
_
__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)