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label-studio-transformersLabel data using HuggingFace's transformers and automatically get a prediction service
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Spark NlpState of the Art Natural Language Processing
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bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
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question generatorAn NLP system for generating reading comprehension questions
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text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
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Tf Seq2seqSequence to sequence learning using TensorFlow.
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Tokenizers💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
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gplPowerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
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turingadviceEvaluating Machines by their Real-World Language Use
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LuciLogical Unity for Communicational Interactivity
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awesome-nlgA curated list of resources dedicated to Natural Language Generation (NLG)
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robo-vlnPytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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banglabertThis repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…
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wikiHow paper listA paper list of research conducted based on wikiHow
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Nlp ArchitectA model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
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py-lingualyticsA text analytics library with support for codemixed data
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Fill-the-GAP[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle
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CVAE DialCVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
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OpenPromptAn Open-Source Framework for Prompt-Learning.
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lightning-transformersFlexible components pairing 🤗 Transformers with Pytorch Lightning
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Transformer-QG-on-SQuADImplement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
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DiscEvalDiscourse Based Evaluation of Language Understanding
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parse seq2seqA tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
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wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
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Clue中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
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dynmt-pyNeural machine translation implementation using dynet's python bindings
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anonymisationAnonymization of legal cases (Fr) based on Flair embeddings
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TorchBlocksA PyTorch-based toolkit for natural language processing
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berserkerBerserker - BERt chineSE woRd toKenizER
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WSDM-Cup-2019[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.
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Transformers-TutorialsThis repository contains demos I made with the Transformers library by HuggingFace.
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Pytorch-NLUPytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…
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minieAn open information extraction system that provides compact extractions
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golgothaContextualised Embeddings and Language Modelling using BERT and Friends using R
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BERT-NERUsing pre-trained BERT models for Chinese and English NER with 🤗Transformers
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RNNSearchAn implementation of attention-based neural machine translation using Pytorch
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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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Fast BertSuper easy library for BERT based NLP models
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NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
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