Nlp PaperNLP Paper
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Mutual labels: transfer-learning, transformer
Haystack🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
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Mutual labels: transfer-learning, summarization
Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
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MinTLMinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
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Nlp PapersPapers and Book to look at when starting NLP 📚
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Bert KerasKeras implementation of BERT with pre-trained weights
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Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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verseagilityRamp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
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Context-TransformerContext-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
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Onnxt5Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
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SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
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ScientificsummarizationdatasetsDatasets I have created for scientific summarization, and a trained BertSum model
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Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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