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Natural language processing
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
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AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Oct 19, 2020 - Python
TensorFlow code and pre-trained models for BERT
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Oct 1, 2020 - Python
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
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Oct 14, 2020 - Python
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Oct 19, 2020 - Python
Oxford Deep NLP 2017 course
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Jun 12, 2017
Your new Mentor for Data Science E-Learning.
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Oct 12, 2020 - Jupyter Notebook
piskvorky
commented
Sep 24, 2020
Not a high-priority at all, but it'd be more sensible for such a tutorial/testing utility corpus to be implemented elsewhere - maybe under /test/ or some other data- or doc- related module – rather than in gensim.models.word2vec.
Originally posted by @gojomo in RaRe-Technologies/gensim#2939 (comment)
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Aug 20, 2020
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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natural-language-processing
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Oct 6, 2020
nlp
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machine-learning
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Oct 19, 2020 - Python
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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Jun 3, 2020 - Python
modest natural-language processing
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Oct 16, 2020 - JavaScript
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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machine-learning
natural-language-processing
word-embeddings
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Oct 19, 2020 - Python
NLTK Source
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Oct 19, 2020 - Python
nelson-liu
commented
Jan 8, 2019
more details at: allenai/allennlp#2264 (comment)
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Oct 19, 2020 - TypeScript
Mapping a variable-length sentence to a fixed-length vector using BERT model
nlp
machine-learning
natural-language-processing
deep-neural-networks
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deep-learning
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Oct 11, 2020 - Python
Stanford CoreNLP: A Java suite of core NLP tools.
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Oct 18, 2020 - Java
Natural Language Processing Tutorial for Deep Learning Researchers
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Oct 3, 2020 - Jupyter Notebook
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
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Apr 20, 2020 - Jupyter Notebook
all kinds of text classification models and more with deep learning
nlp
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May 20, 2020 - Python
ychong
commented
Feb 8, 2018
Hi I would like to propose a better implementation for 'test_indices':
We can remove the unneeded np.array casting:
Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))
Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
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Sep 23, 2020 - Jupyter Notebook
XLNet: Generalized Autoregressive Pretraining for Language Understanding
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Feb 14, 2020 - Python
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
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Dec 1, 2019
Natural Language Processing Best Practices & Examples
nlp
machine-learning
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Oct 8, 2020 - Python
Created by Alan Turing
- Wikipedia
- Wikipedia
The architecture
GPT2ForSequenceClassificationwas added in #7501 in PyTorch. It would be great to have it in TensorFlow (cf. issues #7622), but it would also be great to have it for other causal models:OpenAI GPT, CTRL, TransfoXLCurrently working on OpenAI GPT: @fmcurti(done)Below is a list of items to follow to make sure the integration of such an architect