binliang-nlp Goto Github PK

mula

multi-attention-cnn-absc

Aspect-based sentiment analysis based on multi-attention CNN. Journal of Computer Research and Development

multimodal-sentiment-detection

This code has been developed for detecting sentiment in videos using Convolutional Neural Network and Multiple Kernel Learning.

mustard

Multimodal Sarcasm Detection Dataset

named-entity-recognition

neural-cws

A neural model for Chinese word segmentation

neural-network-papers

nlpgnn

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

nltk_data

NLTK Data

nscl-pytorch-release

PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).

omniglot

Omniglot data set for one-shot learning

onestage_grounding

A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)

openprompt

An Open-Source Framework for Prompt-Learning.

optiprompt

NAACL'2021: Factual Probing Is [MASK]: Learning vs. Learning to Recall

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

phasedlstm-keras

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]

political-ideology-detection-on-twitter

Predicting Political Ideology of Twitter Users.

pplm

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

protoner

Few-shot classification in Named Entity Recognition Task

pt-hcl

[WWW 2022] Zero-Shot Stance Detection via Contrastive Learning

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch-pretrained-vit

Vision Transformer (ViT) in PyTorch

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rgat-absa