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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TensorFlow code and pre-trained models for BERT
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Oct 1, 2020 - Python
中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
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Oct 14, 2020 - Python
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
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Oct 20, 2020 - Python
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Oct 22, 2020 - Python
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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Oct 19, 2020 - Python
Oxford Deep NLP 2017 course
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Jun 12, 2017
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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Oct 6, 2020
Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.
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Oct 22, 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
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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Oct 21, 2020 - Python
NLTK Source
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Oct 21, 2020 - Python
more details at: allenai/allennlp#2264 (comment)
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Oct 2, 2020
Mapping a variable-length sentence to a fixed-length vector using BERT model
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Oct 20, 2020 - Python
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
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Oct 22, 2020 - Python
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
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Oct 7, 2020 - Python
Stanford CoreNLP: A Java suite of core NLP tools.
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Oct 22, 2020 - Java
Natural Language Processing Tutorial for Deep Learning Researchers
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Oct 20, 2020 - Jupyter Notebook
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
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Oct 22, 2020 - Python
A collection of machine learning examples and tutorials.
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Oct 14, 2020 - Python
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
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Oct 22, 2020 - Python
Add Braille Decoder
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This is a Hacktoberfest only issue!
Find our contributing guidelines here, this walks you through how to add a decoder / cracker!
https://github.com/Ciphey/Ciphey/wiki#adding-your-own-crackers--decoders
Don't worry if it looks hard, we will walk you through everything! :)
Write this issue in Python!
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Natural Language Processing Best Practices & Examples
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Oct 8, 2020 - Python
Official Stanford NLP Python Library for Many Human Languages
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Oct 21, 2020 - Python
/tmp/ has been hard coded in some instances
This will be replaced with https://docs.python.org/3/library/tempfile.html which has been well implemented in some instances in the code.
Created by Alan Turing
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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