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Search results for pytorch natural language understanding
natural-language-understanding
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pytorch
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27 search results found
Openprompt
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4,006
An Open-Source Framework for Prompt-Learning.
Mt Dnn
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2,154
Multi-Task Deep Neural Networks for Natural Language Understanding
Spacy Transformers
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1,302
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Conv Emotion
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1,146
This repo contains implementation of different architectures for emotion recognition in conversations.
Treasure Of Transformers
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541
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Adaseq
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295
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
Transfer Nlp
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281
NLP library designed for reproducible experimentation management
Zshot
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278
Zero and Few shot named entity & relationships recognition
Docee
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199
🕹️ A toolkit for document-level event extraction, containing some SOTA model implementations.
Arch Data Science
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83
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Dialogue Understanding
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82
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Classy
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82
classy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Hbmp
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75
Sentence Embeddings in NLI with Iterative Refinement Encoders
Comparatively Finetuning Bert
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61
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
Imodelsx
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60
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
Max Toxic Comment Classifier
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43
Detect 6 types of toxicity in user comments.
Vcml
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28
PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019
Mongolian Bert
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21
Pre-trained Mongolian BERT models
Nlp
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15
🎓📲 Curriculum to Learn Natural Language Processing. Prerequisites in Python, Deep Learning, Linear Algebra, Probability and Calculus is Needed. A compilation of resources.
Nlpboost
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14
Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.
Mlprogram
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12
PyTorch library for synthesizing programs from natural language
Pytorch Nli
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10
pytorch implementation of various models for snli and mnli task
Bert Crf Entity Extraction Pytorch
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9
Entity extraction using BERT + CRF for single-tun / multi-turn setting in dialogues
Pytorch Pretrained Bert
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8
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
Structscribe
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7
Resources and code for: Scalable Micro-planned Generation of Discourse from Structured Data
Multi Srl
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6
Code and models for the COLING2020 paper "Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach".
Hierarchical Language Modeling
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5
We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.
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