stable
Package Reference
torchnlp.datasets package
torchnlp.word_to_vector package
torchnlp.nn package
torchnlp.encoders package
torchnlp.samplers package
torchnlp.metrics package
torchnlp.utils package
torchnlp.download package
PyTorch-NLP
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Index
A
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B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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Z
A
Attention (class in torchnlp.nn)
B
BalancedSampler (class in torchnlp.samplers)
batch_decode() (torchnlp.encoders.Encoder method)
(torchnlp.encoders.LabelEncoder method)
(torchnlp.encoders.text.TextEncoder method)
batch_encode() (torchnlp.encoders.Encoder method)
(torchnlp.encoders.LabelEncoder method)
(torchnlp.encoders.text.SpacyEncoder method)
(torchnlp.encoders.text.TextEncoder method)
BatchedSequences (class in torchnlp.encoders.text)
BPEmb (class in torchnlp.word_to_vector)
BPTTBatchSampler (class in torchnlp.samplers)
BPTTSampler (class in torchnlp.samplers)
BucketBatchSampler (class in torchnlp.samplers)
C
CharacterEncoder (class in torchnlp.encoders.text)
CharNGram (class in torchnlp.word_to_vector)
CNNEncoder (class in torchnlp.nn)
collate_tensors() (in module torchnlp.utils)
count_dataset() (in module torchnlp.datasets)
D
decode() (torchnlp.encoders.Encoder method)
(torchnlp.encoders.LabelEncoder method)
(torchnlp.encoders.text.StaticTokenizerEncoder method)
(torchnlp.encoders.text.SubwordEncoder method)
(torchnlp.encoders.text.TextEncoder method)
DelimiterEncoder (class in torchnlp.encoders.text)
DeterministicSampler (class in torchnlp.samplers)
DistributedBatchSampler (class in torchnlp.samplers)
DistributedSampler (class in torchnlp.samplers)
download_file_maybe_extract() (in module torchnlp.download)
download_files_maybe_extract() (in module torchnlp.download)
E
encode() (torchnlp.encoders.Encoder method)
(torchnlp.encoders.LabelEncoder method)
(torchnlp.encoders.text.StaticTokenizerEncoder method)
(torchnlp.encoders.text.SubwordEncoder method)
Encoder (class in torchnlp.encoders)
F
FastText (class in torchnlp.word_to_vector)
flatten_parameters() (in module torchnlp.utils)
forward() (torchnlp.nn.Attention method)
(torchnlp.nn.CNNEncoder method)
(torchnlp.nn.LockedDropout method)
G
get_accuracy() (in module torchnlp.metrics)
get_input_dim() (torchnlp.nn.CNNEncoder method)
get_moses_multi_bleu() (in module torchnlp.metrics)
get_number_of_elements() (in module torchnlp.samplers)
get_output_dim() (torchnlp.nn.CNNEncoder method)
get_tensors() (in module torchnlp.utils)
get_token_accuracy() (in module torchnlp.metrics)
get_total_parameters() (in module torchnlp.utils)
GloVe (class in torchnlp.word_to_vector)
I
identity() (in module torchnlp.utils)
imdb_dataset() (in module torchnlp.datasets)
is_namedtuple() (in module torchnlp.utils)
iwslt_dataset() (in module torchnlp.datasets)
L
LabelEncoder (class in torchnlp.encoders)
lengths (torchnlp.encoders.text.BatchedSequences attribute)
lengths_to_mask() (in module torchnlp.utils)
LockedDropout (class in torchnlp.nn)
M
MosesEncoder (class in torchnlp.encoders.text)
multi30k_dataset() (in module torchnlp.datasets)
N
NoisySortedSampler (class in torchnlp.samplers)
O
OomBatchSampler (class in torchnlp.samplers)
P
pad_tensor() (in module torchnlp.encoders.text)
penn_treebank_dataset() (in module torchnlp.datasets)
R
RepeatSampler (class in torchnlp.samplers)
reverse_dataset() (in module torchnlp.datasets)
S
sampler_to_iterator() (in module torchnlp.utils)
simple_qa_dataset() (in module torchnlp.datasets)
smt_dataset() (in module torchnlp.datasets)
snli_dataset() (in module torchnlp.datasets)
SortedSampler (class in torchnlp.samplers)
SpacyEncoder (class in torchnlp.encoders.text)
split_list() (in module torchnlp.utils)
stack_and_pad_tensors() (in module torchnlp.encoders.text)
StaticTokenizerEncoder (class in torchnlp.encoders.text)
SubwordEncoder (class in torchnlp.encoders.text)
T
tensor (torchnlp.encoders.text.BatchedSequences attribute)
tensors_to() (in module torchnlp.utils)
TextEncoder (class in torchnlp.encoders.text)
torch_equals_ignore_index() (in module torchnlp.utils)
torchnlp.datasets (module)
torchnlp.download (module)
torchnlp.encoders (module)
torchnlp.encoders.text (module)
torchnlp.metrics (module)
torchnlp.nn (module)
torchnlp.samplers (module)
torchnlp.utils (module)
torchnlp.word_to_vector (module)
trec_dataset() (in module torchnlp.datasets)
TreebankEncoder (class in torchnlp.encoders.text)
U
ud_pos_dataset() (in module torchnlp.datasets)
V
vocab (torchnlp.encoders.LabelEncoder attribute)
(torchnlp.encoders.text.StaticTokenizerEncoder attribute)
(torchnlp.encoders.text.SubwordEncoder attribute)
vocab_size (torchnlp.encoders.LabelEncoder attribute)
(torchnlp.encoders.text.StaticTokenizerEncoder attribute)
(torchnlp.encoders.text.SubwordEncoder attribute)
W
WeightDrop (class in torchnlp.nn)
WeightDropGRU (class in torchnlp.nn)
WeightDropLinear (class in torchnlp.nn)
WeightDropLSTM (class in torchnlp.nn)
WhitespaceEncoder (class in torchnlp.encoders.text)
wikitext_2_dataset() (in module torchnlp.datasets)
wmt_dataset() (in module torchnlp.datasets)
Z
zero_dataset() (in module torchnlp.datasets)
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