elisaoh's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
plaidml/plaidml
PlaidML is a framework for making deep learning work everywhere.
asyml/texar
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
delip/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
UxxHans/Rainbow-Cats-Personal-WeChat-MiniProgram
给女朋友做的微信小程序!情侣自己的任务和商城系统!
jasonwei20/eda_nlp
Data augmentation for NLP, presented at EMNLP 2019
williamSYSU/TextGAN-PyTorch
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
geek-ai/Texygen
A text generation benchmarking platform
asyml/texar-pytorch
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
castorini/hedwig
PyTorch deep learning models for document classification
ChenChengKuan/awesome-text-generation
A curated list of recent models of text generation and application
tobegit3hub/ml_implementation
Implementation of Machine Learning Algorithms
uvipen/Hierarchical-attention-networks-pytorch
Hierarchical Attention Networks for document classification
nmhkahn/torchsummaryX
torchsummaryX: Improved visualization tool of torchsummary
Sleepychord/CogLTX
The source code of NeurIPS 2020 paper "CogLTX: Applying BERT to Long Texts"
ha-lins/MetaLearning4NLP-Papers
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
AcademiaSinicaNLPLab/sentiment_dataset
IBM/BAGAN
Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.
doubleplusplus/incremental_decision_tree-CART-Random_Forest
incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest
helmy-elrais/RoBERT_Recurrence_over_BERT
pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch implementation of other Hierarchical Methods (Mean Pooling and Max Pooling) and Truncation Methods (Head Only and Tail Only) presented in this paper https://arxiv.org/abs/1905.05583
dreasysnail/textGAN_public
giannisnik/mpad
Message Passing Attention Networks for Document Understanding
mzj14/prepare-tax-return
UW-Madison CS 硕士生报税经历
jaehunjung1/Hierarchical-Attention-Network
A PyTorch implementation of the document classification by Hierarchical Attention Network
EdinburghNLP/spot-data
Sentiment polarity annotations dataset
Jeff-HOU/UROP-Adversarial-Feature-Matching-for-Text-Generation
My first UROP project
dki-lab/covid19-classification
Document Classification on COVID-19 Literature using the LitCovid collection and the Hedwig library.
MatanBN/XRTransfer
Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
nicolsen/ME759-2020