📚 A practical approach to machine learning.
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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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- Created by Alan Turing
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TensorFlow code and pre-trained models for BERT
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Oct 26, 2019 - 109 commits
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🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
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- Python
自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 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
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Oct 26, 2019 - 1 commits
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《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 26, 2019 - 2 commits
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Oxford Deep NLP 2017 course
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Oct 25, 2019 - 64 commits
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 26, 2019 - 544 commits
- Python
mpenkov
commented
Sep 28, 2019
We currently support reading FastText models from Facebook's format. The gensim.models._fasttext_bin does this.
This enables people to use gensim with a model that was trained using Facebook's binaries.
Sometimes, people want things to work the other way: they start with gensim, train a model, and then
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
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Oct 25, 2019 - 386 commits
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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Oct 25, 2019 - 106 commits
- Python
marco-roberti
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Jun 15, 2019
Hello everyone,
I need to compute the BLEU score with more than one ngram length (ideally, BLEU2, BLEU3, BLEU4, and BLEU5). In my case, this is a very long task, as every hypothesis has some thousand references.
Reading the implementation of the corpus_bleu function, which takes weights:Tuple between its parameters - and thus calculating BLEU-[len(weights)] - , I found out that it gets all t
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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Oct 26, 2019 - 687 commits
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alanakbik
commented
Jul 9, 2018
Train a simple NER tagger for Swedish trained for instance over this dataset.
For this task, we need to adapt the NLPTaskDataFetcher for the appropriate Swedish dataset and train a simple model using Swedish word embeddings. How to train a model is [illustrated here](https://github.com/zalandoresearch/flair/blob/master/resources/docs/TUTORIAL_TRAI
nelson-liu
commented
Jan 8, 2019
more details at: allenai/allennlp#2264 (comment)
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
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Oct 25, 2019 - 1 commits
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furqan-shakoor
commented
Sep 4, 2019
Rasa version: '0.15.1'
Rasa X version (if used & relevant):
Python version: 3.7
Operating system (windows, osx, ...): MacOS
Issue:
If the number of intents in an application is less than 2, the application does not correctly classify any inputs to an intent.
The endpoints /train and /parse both return 200 in such a case, indicating no errors. But the server
i2dwhadmn
commented
May 17, 2017
Has anyone tried setting up the CoreNLP package as a service on Windows ?
I setup a .bat file that has the follwing content:
java -mx8g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9005
Next I created a service using the sc command from within Windows. But it does not seem to work.
_Ben
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Oct 26, 2019 - 108 commits
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
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Oct 26, 2019 - 692 commits
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Mapping a variable-length sentence to a fixed-length vector using BERT model
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Natural Language Processing Tutorial for Deep Learning Researchers
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Oct 25, 2019 - 59 commits
- Jupyter Notebook
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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Oct 26, 2019 - 202 commits
- Jupyter Notebook
A collection of machine learning examples and tutorials.
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Oct 26, 2019 - 237 commits
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Mycroft Core, the Mycroft Artificial Intelligence platform.
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Oct 25, 2019 - 3 commits
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PyTorch tutorials demonstrating modern techniques with readable code
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Oct 25, 2019 - 89 commits
- Jupyter Notebook
A PyTorch implementation of the Transformer model in "Attention is All You Need".
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Oct 25, 2019 - 154 commits
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Unsupervised text tokenizer for Neural Network-based text generation.
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Oct 25, 2019 - 517 commits
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Learn about nlp
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I was going though the existing enhancement issues again and though it'd be nice to collect ideas for spaCy plugins and related projects. There are always people in the community who are looking for new things to build, so here's some inspiration✨ For existing plugins and projects, check out the spaCy universe.
If you have questions about the projects I suggested,