elisaoh

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！

CogLTX

The source code of NeurIPS 2020 paper "CogLTX: Applying BERT to Long Texts"

MetaLearning4NLP-Papers

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

spot-data

Sentiment polarity annotations dataset

mpad

Message Passing Attention Networks for Document Understanding

covid19-classification

Document Classification on COVID-19 Literature using the LitCovid collection and the Hedwig library.

hedwig

PyTorch deep learning models for document classification

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

Hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

Hierarchical-Attention-Network

A PyTorch implementation of the document classification by Hierarchical Attention Network

prepare-tax-return

UW-Madison CS 硕士生报税经历

plaidml

PlaidML is a framework for making deep learning work everywhere.

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

PyTorchNLPBook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

ME759-2020

XRTransfer

Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"

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

sentiment_dataset

UROP-Adversarial-Feature-Matching-for-Text-Generation

My first UROP project

texar

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

torchsummaryX

torchsummaryX: Improved visualization tool of torchsummary

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/

ml_implementation

Implementation of Machine Learning Algorithms

Texygen

A text generation benchmarking platform

awesome-text-generation

A curated list of recent models of text generation and application

TextGAN-PyTorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

textGAN_public

BAGAN

Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.