#
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.
Here are 11,007 public repositories matching this topic...
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
python
nlp
svm
scikit-learn
sklearn
regression
logistic
dnn
lstm
pca
rnn
deeplearning
kmeans
adaboost
apriori
fp-growth
svd
naivebayes
mahchine-leaning
recommendedsystem
-
Updated
Jul 14, 2020 - Python
TensorFlow code and pre-trained models for BERT
-
Updated
Aug 15, 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
nlp
natural-language-processing
text-classification
hanlp
named-entity-recognition
dependency-parser
pos-tagging
semantic-parsing
-
Updated
Aug 31, 2020 - Python
python
nlp
data-science
machine-learning
natural-language-processing
big-data
ai
deep-learning
neural-network
cython
artificial-intelligence
spacy
neural-networks
nlp-library
-
Updated
Aug 31, 2020 - Python
Oxford Deep NLP 2017 course
-
Updated
Jun 12, 2017
Your new Mentor for Data Science E-Learning.
python
nlp
learning
data-science
data
machine-learning
statistics
computer-vision
study
tensorflow
guide
scikit-learn
learning-python
path
datascience
business-intelligence
guidelines
machine-vision
virgilio
studypath
-
Updated
Aug 29, 2020 - Jupyter Notebook
gojomo
commented
Nov 5, 2019
The usage example in the word2vec.py doc-comment regarding KeyedVectors uses inconsistent paths and thus doesn't work.
If vectors were saved to a tm
nlp
language
machine-learning
natural-language-processing
text-mining
awesome
deep-learning
awesome-list
-
Updated
Aug 20, 2020
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
python
nlp
data-science
machine-learning
natural-language-processing
awesome
facebook
computer-vision
deep-learning
neural-network
cv
tutorials
pytorch
awesome-list
utility-library
probabilistic-programming
papers
nlp-library
pytorch-tutorials
pytorch-model
-
Updated
Aug 20, 2020
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
python
nlp
machine-learning
natural-language-processing
tutorial
deep-learning
course-materials
tensorflow
chatbot
stanford
-
Updated
Jun 3, 2020 - Python
nlp
bot
machine-learning
natural-language-processing
bots
botkit
chatbot
bot-framework
nlu
spacy
mitie
chatbots
machine-learning-library
wit
rasa
conversational-agents
conversational-bots
chatbots-framework
conversational-ai
conversation-driven-development
-
Updated
Aug 31, 2020 - Python
modest natural-language processing
-
Updated
Aug 28, 2020 - JavaScript
A very simple framework for state-of-the-art Natural Language Processing (NLP)
nlp
machine-learning
natural-language-processing
word-embeddings
pytorch
named-entity-recognition
sequence-labeling
semantic-role-labeling
-
Updated
Aug 31, 2020 - Python
NLTK Source
-
Updated
Aug 31, 2020 - Python
nelson-liu
commented
Jan 8, 2019
more details at: allenai/allennlp#2264 (comment)
nlp
bot
machine-learning
sdk
bots
botkit
machine-learning-algorithms
chatbot
bot-framework
nlu
microsoft-bot-framework
conversational-ui
conversation
luis
bot-builder
wit
botpress
botkit-bots
chatbot-framework
-
Updated
Aug 31, 2020 - TypeScript
Mapping a variable-length sentence to a fixed-length vector using BERT model
nlp
machine-learning
natural-language-processing
deep-neural-networks
ai
deep-learning
tensorflow
bert
natural-language-understanding
word-embedding
sentence-encoding
-
Updated
Aug 20, 2020 - Python
Stanford CoreNLP: A Java suite of core NLP tools.
-
Updated
Aug 21, 2020 - Java
Natural Language Processing Tutorial for Deep Learning Researchers
-
Updated
Aug 15, 2020 - Jupyter Notebook
all kinds of text classification models and more with deep learning
nlp
text-classification
tensorflow
classification
convolutional-neural-networks
sentence-classification
fasttext
attention-mechanism
multi-label
memory-networks
multi-class
textcnn
textrnn
-
Updated
May 20, 2020 - Python
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。
-
Updated
Apr 20, 2020 - Jupyter Notebook
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。
nlp
machine-learning
computer-vision
deep-learning
neural-network
tensorflow
artificial-intelligence
tensorflow-tutorials
tensorflow-examples
tensorflow-2
-
Updated
Aug 30, 2020 - Jupyter Notebook
XLNet: Generalized Autoregressive Pretraining for Language Understanding
-
Updated
Feb 14, 2020 - Python
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
nlp
news
wiki
text-classification
word2vec
corpus
dataset
question-answering
chinese
chinese-nlp
language-model
bert
chinese-corpus
pretrain
chinese-dataset
-
Updated
Dec 1, 2019
Natural Language Processing Best Practices & Examples
nlp
machine-learning
natural-language-processing
deep-learning
text-classification
text
best-practices
natural-language
nlu
pretrained-models
natural-language-inference
natural-language-understanding
sota
transfomer
nli
azure-ml
mlflow
-
Updated
Aug 25, 2020 - Python
Created by Alan Turing
- Wikipedia
- Wikipedia
modeling_longformer.pyhas the classesLongformerForSequenceClassification,LongformerForMultipleChoiceandLongformerForTokenClassificationwhich are not present inmodeling_tf_longformer.pyat the moment.Those classes should be equally added to
modeling_tf_longformer.py.Motivation
The pretrained weights for TFLongformer are available so that these