mt-dnn
NLP model
A PyTorch package implementing multi-task deep neural networks for natural language understanding
Multi-Task Deep Neural Networks for Natural Language Understanding
2k stars
59 watching
412 forks
Language: Python
last commit: over 2 years agobertdeep-learningmachine-reading-comprehensionmicrosoftmulti-task-learningnamed-entity-recognitionnatural-language-understandingnlppytorchranking
Related projects:
| Repository | Description | Stars |
|---|---|---|
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 bamos/densenet.pytorch | An implementation of a deep neural network architecture in PyTorch | 833 |
 sandeep42/anuvada | This is an open source PyTorch library providing tools and models to explain the predictions of deep neural networks for natural language processing tasks. | 19 |
 balavenkatesh3322/nlp-pretrained-model | A collection of pre-trained natural language processing models | 170 |
 jingweiz/pytorch-dnc | An implementation of Neural Turing Machine and Differentiable Neural Computer architectures using PyTorch and Visdom for deep learning tasks. | 278 |
 microsoft/neuronblocks | A toolkit for building and deploying neural network models for natural language processing tasks. | 1,448 |
 norse/norse | Deep learning framework for spiking neural networks | 685 |
 harshtrivedi/nmn-pytorch | A PyTorch implementation of Neural Module Networks for Visual Question Answering | 108 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 huggingface/hmtl | A neural network model for learning semantic representations from multiple natural language processing tasks | 1,191 |
 delip/pytorchnlpbook | A comprehensive Python tutorial and codebase for building natural language processing applications with PyTorch. | 1,996 |
 dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
 kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
 rguthrie3/deeplearningfornlpinpytorch | A comprehensive tutorial on deep learning for natural language processing with PyTorch, covering the basics and advancing to linguistic structure prediction. | 1,942 |