explosion/spacy-course
quality grade C, 59 out of 100👩🏫 Advanced NLP with spaCy: A free online course
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Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
637 results
👩🏫 Advanced NLP with spaCy: A free online course
✨Fast Coreference Resolution in spaCy with Neural Networks
Tracking the progress in non-autoregressive generation (translation, transcription, etc.)
Python library & examples for Masked Language Model Scoring (ACL 2020)
Keywords to Sentences
Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow
turn natural language into structured data(支持中文,自定义了N种模型,支持不同的场景和任务)
ByteNet for character-level language modelling
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Attention-based multimodal fusion for sentiment analysis
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
An open-source tool for sequence learning in NLP built on TensorFlow.
Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
Named Entity Recognition using multilayered bidirectional LSTM
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.
XiaoMi Natural Language Processing Toolkits
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
Sentiment Analysis with LSTMs in Tensorflow
整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。
Neural machine translation and sequence learning using TensorFlow
Pre-Trained Chinese XLNet(中文XLNet预训练模型)
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
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