Alternatives and similar repositories for Character-level-cnn-pytorch

Users that are interested in Character-level-cnn-pytorch are comparing it to the libraries listed below

• vietnh1009 / Very-deep-cnn-pytorch
  Very deep CNN for text classification
  ☆36Updated 3 years ago
• kumar-shridhar / Know-Your-Intent
  State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
  ☆134Updated 5 years ago
• threelittlemonkeys / seq2seq-pytorch
  Sequence to Sequence Models in PyTorch
  ☆44Updated last year
• SIDN-IAP / attnvis
  Minimal Interactive Attention Visualization
  ☆140Updated 5 years ago
• pren1 / A_Pipeline_Of_Pretraining_Bert_On_Google_TPU
  A tutorial of pertaining Bert on your own dataset using google TPU
  ☆44Updated 5 years ago
• ahmedbesbes / character-based-cnn
  Implementation of character based convolutional neural network
  ☆261Updated 4 years ago
• bentrevett / pytorch-nli
  A tutorial on how to implement models for natural language inference using PyTorch and TorchText. [IN PROGRESS]
  ☆26Updated 5 years ago
• lyeoni / pretraining-for-language-understanding
  Pre-training of Language Models for Language Understanding
  ☆83Updated 6 years ago
• tshrjn / qgen
  Question generation from Reading Comprehension
  ☆18Updated 3 years ago
• ceshine / pytorch-pretrained-BERT
  A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
  ☆30Updated 6 years ago
• DomHudson / bert-in-production
  A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
  ☆96Updated 4 years ago
• shabeelkandi / Handling-Out-of-Vocabulary-Words-in-Natural-Language-Processing-using-Language-Modelling
  ☆69Updated 5 years ago
• JRC1995 / Abstractive-Summarization
  Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
  ☆166Updated 5 years ago
• tacchinotacchi / distil-bilstm
  Scripts to train a bidirectional LSTM with knowledge distillation from BERT
  ☆158Updated 5 years ago
• microsoft / Distilled-Sentence-Embedding
  Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding (AAAI 2020) - PyTorch Implementation
  ☆32Updated 2 years ago
• prajjwal1 / language-modelling
  LM, ULMFit et al.
  ☆46Updated 5 years ago
• prateekjoshi565 / ULMFiT_Text_Classification
  Transfer Learning for NLP Tasks
  ☆55Updated 6 years ago
• pcyin / PyRouge
  A python library to compute rouge score for summarization
  ☆57Updated 2 years ago
• huggingface / adversarialnlp
  A generic library for crafting adversarial NLP examples - WIP
  ☆41Updated 6 years ago
• mhjabreel / CharCnn_Keras
  The implementation of text classification using character level convoultion neural networks using Keras
  ☆150Updated 2 years ago
• Emrys-Hong / fastai_sequence_tagging
  sequence tagging for NER for ULMFiT
  ☆20Updated 4 years ago
• surbhardwaj / BERT-QnA-Squad_2.0_Finetuned_Model
  BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.
  ☆56Updated 5 years ago
• yk / huggingface-nlp-demo
  ☆46Updated 5 years ago
• VinAIResearch / COVID19Tweet
  WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets
  ☆30Updated last year
• NicGian / text_VAE
  Text generation with a Variational Autoencoder
  ☆64Updated 6 years ago
• Kyubyong / lm_finetuning
  Language Model Fine-tuning for Moby Dick
  ☆42Updated 6 years ago
• hsajjad / transformers
  🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
  ☆68Updated 5 years ago
• jeniyat / WNUT_2020_NER
  This repository will contain the data and codes for WNUT 2020 NER task
  ☆51Updated 2 years ago
• kabirahuja2431 / FineTuneBERT
  ☆45Updated 2 years ago
• Andrew03 / transformer-abstractive-summarization
  Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"
  ☆71Updated 6 years ago