qlwang25's repositories
explanation_for_absa
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models
Conference-Acceptance-Rate
Statistics of acceptance rate for the main AI conference
image2text_conversion
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
CLUEDatasetSearch
搜索所有中文NLP数据集，附常用英文NLP数据集
book
:books: All programming languages books
Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing
disentangled_representation
Cross-Domain Sentiment Analysis via Disentangled Representation and Prototypical Learning
DrQA-master
Reading Wikipedia to Answer Open-Domain Questions
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
multi-perspectives_example_retrieval
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis
nlp-datasets
A list of datasets/corpora for NLP tasks, in reverse chronological order.
pytorch-pretrained-BERT
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
sequentially_retrieval
Improving In-Context Learning via Sequentially Retrieval and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis
stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison