#
natural-language-generation
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Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
learning
machine-learning
natural-language-processing
deep-neural-networks
computer-vision
deep-learning
machine
natural-language
deep
python3
machinelearning
deeplearning
natural-language-generation
natural-language-understanding
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Sep 30, 2021 - Python
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
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Updated
Jul 1, 2021 - Jupyter Notebook
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[Error Message] Improve error message in SentencepieceTokenizer when arguments are not expected.
6
preeyank5
commented
Dec 3, 2020
Description
While using tokenizers.create with the model and vocab file for a custom corpus, the code throws an error and is not able to generate the BERT vocab file
Error Message
ValueError: Mismatch vocabulary! All special tokens specified must be control tokens in the sentencepiece vocabulary.
To Reproduce
from gluonnlp.data import tokenizers
tokenizers.create('spm', model_p
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
nlp
natural-language-processing
meteor
machine-translation
dialogue
evaluation
dialog
rouge
natural-language-generation
nlg
cider
rouge-l
skip-thoughts
skip-thought-vectors
bleu-score
bleu
task-oriented-dialogue
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Updated
May 6, 2021 - Python
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
nlp
machine-learning
natural-language-processing
deep-learning
language-modeling
natural-language-generation
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Updated
Mar 2, 2021 - Python
Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.
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Sep 24, 2020 - Java
This Word Does Not Exist
machine-learning
natural-language-processing
transformers
natural-language-generation
natural-language-understanding
gpt-2
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Updated
Jan 12, 2021 - Python
Neural question generation using transformers
nlp
natural-language-processing
deep-learning
transformer
natural-language-generation
nlg
question-generation
t5
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Updated
Sep 29, 2021 - Jupyter Notebook
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
machine-learning
natural-language-processing
deep-learning
dialogue
natural-language-generation
dialogue-systems
nlg-dataset
dialogue-generation
benchmark-datasets
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Updated
Jul 2, 2019 - Python
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
nlp
text-generation
pytorch
generation
datasets
natural-language-generation
attention-mechanism
memory-networks
end-to-end-learning
paper-generation
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May 31, 2021 - Python
Compendium of the resources available from top NLP conferences.
naacl
natural-language-processing
acl
emnlp
natural-language-generation
natural-language-inference
nlp-machine-learning
natural-language-understanding
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Updated
Dec 28, 2019
Accelerated Text is a no-code natural language generation platform. It will help you construct document plans which define how your data is converted to textual descriptions varying in wording and structure.
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Sep 28, 2021 - JavaScript
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
machine-learning
natural-language-processing
dialogue
machine-learning-library
natural-language-generation
dialogue-agents
dialogue-systems
dialogue-manager
dialogue-generation
dialogues
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Jun 14, 2017 - Python
Reading list for knowledge-enhanced text generation, with a survey
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Updated
Sep 17, 2021
A curated list of resources dedicated to Natural Language Generation (NLG)
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Updated
Apr 16, 2021
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
nlp
natural-language-processing
course
course-materials
slides
coursera
natural-language-generation
nlp-machine-learning
specialization
natural-language-understanding
coursera-specialization
course-assignment
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Updated
Sep 26, 2020 - Jupyter Notebook
Convert a number to an approximated text expression: from '0.23' to 'less than a quarter'.
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Jan 20, 2021 - Clojure
Statistical NLG for spoken dialogue systems
python
dialogue
seq2seq
computational-linguistics
natural-language-generation
dialogue-systems
tgen
seq2seq-generation
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Updated
Feb 24, 2021 - Python
Tracking the progress in non-autoregressive generation (translation, transcription, etc.)
natural-language-processing
machine-translation
artificial-intelligence
speech-recognition
natural-language-generation
speech-processing
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Updated
Sep 29, 2021
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
computer-vision
neural-network
tensorflow
recurrent-neural-networks
artificial-intelligence
lstm
image-captioning
convolutional-neural-networks
natural-language-generation
lstm-neural-networks
captioning-images
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Dec 1, 2019 - Jupyter Notebook
Text2Text: Multilingual tokenization, embedding, search, translation, summarization, question generation, question answering, data augmentation, distance measurement
search
nlp
natural-language-processing
information-retrieval
translator
tokenizer
multi-lingual
transformers
embeddings
levenshtein-distance
question-answering
tf-idf
natural-language-generation
summarizer
bert
data-augmentation
cross-lingual
question-generation
backtranslation
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Updated
Sep 26, 2021 - Python
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
python
nlp
machine-learning
natural-language-processing
ai
deep-learning
neural-network
paper
word-embeddings
cnn
artificial-intelligence
eeg
rnn
seq2seq
reading-list
natural-language-generation
affective-computing
dialogue-systems
emotion-recognition
graph-neural-networks
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May 22, 2021
Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
natural-language-processing
natural-language-generation
nlp-machine-learning
textclassification
transformer-architecture
gpt-2
text-augmentation
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Updated
Nov 2, 2020 - Python
Conversational Toolkit. An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
python
machine-learning
natural-language-processing
deep-learning
metrics
data-processing
natural-language-generation
text-data
cotk
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Updated
Aug 31, 2020 - Python
Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
emoji
reinforcement-learning
dialog
vae
emotional-intelligence
natural-language-generation
dialogue-generation
variational-autoencoder
conditional-vae
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Jul 18, 2018 - Python
Tracking the progress in end-to-end speech translation
natural-language-processing
machine-translation
artificial-intelligence
natural-language-generation
speech-processing
spoken-language-processing
speech-translation
spoken-language-translation
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Updated
Sep 23, 2021
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
natural-language-generation
latent-variable-models
gumbel-softmax
paraphrase-generation
deep-generative-model
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Apr 4, 2020 - Python
SeqGAN tensorflow implementation
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Updated
Jan 31, 2018 - Python
A PyTorch Implementation of "Toward Controlled Generation of Text"
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Nov 8, 2017 - Python
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https://github.com/huggingface/transformers/blob/546dc24e0883e5e9f5eb06ec8060e3e6ccc5f6d7/src/transformers/models/gpt2/modeling_gpt2.py#L698
Assertions can't be relied upon for control flow because they can be disabled, as per the following: