Alternatives and similar repositories for TextClassificationBenchmark

Users that are interested in TextClassificationBenchmark are comparing it to the libraries listed below

• EdGENetworks / attention-networks-for-classification
  Hierarchical Attention Networks for Document Classification in PyTorch
  ☆604Updated 5 years ago
• brightmart / bert_language_understanding
  Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
  ☆964Updated 6 years ago
• RandolphVI / Multi-Label-Text-Classification
  About Muti-Label Text Classification Based on Neural Network.
  ☆556Updated 4 years ago
• Shawn1993 / cnn-text-classification-pytorch
  CNNs for Sentence Classification in PyTorch
  ☆1,029Updated 3 months ago
• Socialbird-AILab / BERT-Classification-Tutorial
  ☆533Updated 6 years ago
• guoyinwang / LEAM
  ☆323Updated 5 years ago
• AnubhavGupta3377 / Text-Classification-Models-Pytorch
  Implementation of State-of-the-art Text Classification Models in Pytorch
  ☆490Updated 6 years ago
• ematvey / hierarchical-attention-networks
  Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will proba…
  ☆465Updated last year
• brightmart / sentiment_analysis_fine_grain
  Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
  ☆594Updated 6 years ago
• chenyuntc / PyTorchText
  1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
  ☆1,058Updated 6 years ago
• TobiasLee / Text-Classification
  Implementation of papers for text classification task on DBpedia
  ☆738Updated 4 years ago
• songyingxin / Bert-TextClassification
  Implemention some Baseline Model upon Bert for Text Classification
  ☆690Updated 5 years ago
• kaushalshetty / Structured-Self-Attention
  A Structured Self-attentive Sentence Embedding
  ☆492Updated 5 years ago
• richliao / textClassifier
  Text classifier for Hierarchical Attention Networks for Document Classification
  ☆1,077Updated 3 years ago
• LiyuanLucasLiu / LM-LSTM-CRF
  Empower Sequence Labeling with Task-Aware Language Model
  ☆847Updated 2 years ago
• andyweizhao / capsule_text_classification
  ☆340Updated 2 years ago
• sgrvinod / a-PyTorch-Tutorial-to-Text-Classification
  Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification
  ☆247Updated 4 years ago
• vietnh1009 / Hierarchical-attention-networks-pytorch
  Hierarchical Attention Networks for document classification
  ☆394Updated 3 years ago
• lonePatient / Bert-Multi-Label-Text-Classification
  This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
  ☆911Updated 2 years ago
• prakashpandey9 / Text-Classification-Pytorch
  Text classification using deep learning models in Pytorch
  ☆813Updated 6 years ago
• ZhixiuYe / NER-pytorch
  LSTM+CRF NER
  ☆302Updated 6 years ago
• HIT-SCIR / ELMoForManyLangs
  Pre-trained ELMo Representations for Many Languages
  ☆1,461Updated 3 years ago
• allenai / bilm-tf
  Tensorflow implementation of contextualized word representations from bi-directional language models
  ☆1,618Updated 2 years ago
• lancopku / SGM
  Sequence Generation Model for Multi-label Classification (COLING 2018)
  ☆436Updated 5 years ago
• UKPLab / emnlp2017-bilstm-cnn-crf
  BiLSTM-CNN-CRF architecture for sequence tagging
  ☆830Updated 3 years ago
• HKUST-KnowComp / R-Net
  Tensorflow Implementation of R-Net
  ☆578Updated 6 years ago
• ZhixiuYe / HSCRF-pytorch
  ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
  ☆303Updated 6 years ago
• UKPLab / elmo-bilstm-cnn-crf
  BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.
  ☆387Updated 2 years ago
• ExplorerFreda / Structured-Self-Attentive-Sentence-Embedding
  An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017).
  ☆430Updated 7 years ago
• NTMC-Community / MatchZoo-py
  Facilitating the design, comparison and sharing of deep text matching models.
  ☆498Updated last year