Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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RbertImplementation of BERT in R
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Linguistic Style TransferNeural network parametrized objective to disentangle and transfer style and content in text
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Nlp Pretrained ModelA collection of Natural language processing pre-trained models.
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DanlpDaNLP is a repository for Natural Language Processing resources for the Danish Language.
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KeitaMy personal toolkit for PyTorch development.
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Ua GecUA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language
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PytextrankPython implementation of TextRank for phrase extraction and summarization of text documents
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Cogcomp NlpyCogComp's light-weight Python NLP annotators
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Textaugmentation Gpt2Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
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Spacy Js🎀 JavaScript API for spaCy with Python REST API
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DeclutrThe corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
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Neuro🔮 Neuro.js is machine learning library for building AI assistants and chat-bots (WIP).
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Opus MtOpen neural machine translation models and web services
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Detecting Scientific ClaimExtracting scientific claims from biomedical abstracts (powered by AllenNLP), demo:
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MedquadMedical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
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Nuspell🖋️ Fast and safe spellchecking C++ library
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DiscobertCode for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)
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AllennlpAn open-source NLP research library, built on PyTorch.
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Easy BertA Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Spokestack PythonSpokestack is a library that allows a user to easily incorporate a voice interface into any Python application.
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ClicrMachine reading comprehension on clinical case reports
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Unified SummarizationOfficial codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.
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Neuraldialog LarlPyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
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Tensorflow NlpNLP and Text Generation Experiments in TensorFlow 2.x / 1.x
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Files2rougeCalculating ROUGE score between two files (line-by-line)
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Lingopackage lingo provides the data structures and algorithms required for natural language processing
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Chars2vecCharacter-based word embeddings model based on RNN for handling real world texts
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Commonsense RcCode for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
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Nlp PapersPapers and Book to look at when starting NLP 📚
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DialoglueDialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
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TextacyNLP, before and after spaCy
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KadotKadot, the unsupervised natural language processing library.
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ScattertextBeautiful visualizations of how language differs among document types.
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PapernotesMy personal notes and surveys on DL, CV and NLP papers.
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Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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PymetamapPython wraper for MetaMap
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NltkNLTK Source
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ChatbotРусскоязычный чатбот
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NonautoreggenprogressTracking the progress in non-autoregressive generation (translation, transcription, etc.)
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Ios mlList of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
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Fnc 1 BaselineA baseline implementation for FNC-1
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FlairA very simple framework for state-of-the-art Natural Language Processing (NLP)
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PrenlpPreprocessing Library for Natural Language Processing
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Konoha🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.
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Deep LyricsLyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
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Stanford Tensorflow TutorialsThis repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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