All modules for which code is available
- torchnlp.datasets.count
- torchnlp.datasets.imdb
- torchnlp.datasets.iwslt
- torchnlp.datasets.multi30k
- torchnlp.datasets.penn_treebank
- torchnlp.datasets.reverse
- torchnlp.datasets.simple_qa
- torchnlp.datasets.smt
- torchnlp.datasets.snli
- torchnlp.datasets.squad
- torchnlp.datasets.trec
- torchnlp.datasets.ud_pos
- torchnlp.datasets.wikitext_2
- torchnlp.datasets.wmt
- torchnlp.datasets.zero
- torchnlp.download
- torchnlp.encoders.encoder
- torchnlp.encoders.label_encoder
- torchnlp.encoders.text.character_encoder
- torchnlp.encoders.text.delimiter_encoder
- torchnlp.encoders.text.moses_encoder
- torchnlp.encoders.text.spacy_encoder
- torchnlp.encoders.text.static_tokenizer_encoder
- torchnlp.encoders.text.subword_encoder
- torchnlp.encoders.text.text_encoder
- torchnlp.encoders.text.treebank_encoder
- torchnlp.encoders.text.whitespace_encoder
- torchnlp.metrics.accuracy
- torchnlp.metrics.bleu
- torchnlp.nn.attention
- torchnlp.nn.cnn_encoder
- torchnlp.nn.lock_dropout
- torchnlp.nn.weight_drop
- torchnlp.random
- torchnlp.samplers.balanced_sampler
- torchnlp.samplers.bptt_batch_sampler
- torchnlp.samplers.bptt_sampler
- torchnlp.samplers.bucket_batch_sampler
- torchnlp.samplers.deterministic_sampler
- torchnlp.samplers.distributed_batch_sampler
- torchnlp.samplers.distributed_sampler
- torchnlp.samplers.noisy_sorted_sampler
- torchnlp.samplers.oom_batch_sampler
- torchnlp.samplers.repeat_sampler
- torchnlp.samplers.sorted_sampler
- torchnlp.utils
- torchnlp.word_to_vector.bpemb
- torchnlp.word_to_vector.char_n_gram
- torchnlp.word_to_vector.fast_text
- torchnlp.word_to_vector.glove